fix(engram-scoring): correct relevance denominator, hard_bell brace, threshold

Three fixes from code review on improve/recall-engram-scoring: 1. CRITICAL — relevance denominator /10000 → /100: parse_salience_100 already scales floats to 0-100 (e.g. "0.7" → 70), so the product of two such values must be divided by 100 to stay in 0-100 range. The /10000 divisor caused integer truncation to 0 for every real-world node (sal=0.7, imp=0.7 → 70*70/10000 = 0). engram_compile_ranked was returning empty string for all inputs, leaving the soul with zero memory context. 2. CRITICAL — missing closing brace for hard_bell if-block in handle_chat_agentic (line ~1050): the return statement was not followed by the closing `}`, making the entire non-bell code path dead code inside the branch. All agentic turns that were not a hard_bell would silently fall through the open block. 3. HIGH — threshold 15 → 10 in engram_compile_ranked: even after the /100 fix, threshold=15 was marginally too aggressive for low-salience nodes near the Working-tier recency floor. sal=0.5 imp=0.5 at floor scores 16 (just above 15), so the margin was only 1 point. Lowering to 10 gives comfortable headroom while still filtering genuine noise (sal=0.1 imp=0.1 → score ≤ 1).
2026-06-22 13:35:00 -05:00
28 changed files with 2728 additions and 2982 deletions
@@ -152,27 +152,6 @@ fn emit_heartbeat() -> Void {
 // a reserved/conflicting name in EL that compiles to EL_NULL at call sites.
 //
 // Returns true if any nodes were activated.
-// auto_term_try_slot — attempt to set cseed_auto from one WM slot.
-// Only writes to cseed_auto if node_type is Memory, BacklogItem, or Entity
-// AND the first word of the label is > 3 chars (guards bracket-prefixed labels).
-// Designed to be called in reverse slot order (highest index first) so that
-// the lowest-indexed slot (highest WM weight) wins by last-write semantics.
-fn auto_term_try_slot(slot_type: String, slot_lbl: String) -> Void {
-    state_set("_ats_ok", "0")
-    if str_eq(slot_type, "Memory") { state_set("_ats_ok", "1") }
-    if str_eq(slot_type, "BacklogItem") { state_set("_ats_ok", "1") }
-    if str_eq(slot_type, "Entity") { state_set("_ats_ok", "1") }
-    if str_eq(state_get("_ats_ok"), "1") {
-        if !str_eq(slot_lbl, "") {
-            let sp: Int = str_find_chars(slot_lbl, " :([")
-            if sp > 3 {
-                state_set("cseed_auto", str_slice(slot_lbl, 0, sp))
-            }
-        }
-    }
-    return ""
-}
-
 fn proactive_curiosity() -> Bool {
    let ts: Int = time_now()
    // Rotate seed set every minute using wall clock: (minutes_since_epoch) % 4.
@@ -231,46 +210,43 @@ fn proactive_curiosity() -> Bool {
    let found_c: Int = json_array_len(results_c)
    let found: Int = found_a + found_b + found_c

-    // WM-autobiographical 4th seed: scan top-10 WM nodes for the highest-ranked
-    // non-Knowledge node. Extract its first word as an additional curiosity term.
-    // This creates a self-referencing curiosity loop — exploration radiates outward
-    // from whatever is most personally salient right now (Memory, BacklogItem, Entity),
-    // mirroring default-mode-network resting-state dynamics.
+    // WM-autobiographical 4th seed: extract the first word from the top working-memory
+    // node's label and activate it as an additional term. This creates a self-referencing
+    // curiosity loop — exploration radiates outward from whatever is most salient right now,
+    // mirroring the brain's default-mode-network resting-state dynamics. Breaks the fixed
+    // 4-set determinism that otherwise reinforces the same subgraph every rotation cycle.
    //
-    // WHY TOP-10 (2026-06-23 self-review): the old top-1 scan always returned a
-    // Knowledge node (WM is dominated by stable engram-metadata Knowledge nodes at
-    // position [0]). Verified: Memory nodes consistently appear at WM positions [1],[2]
-    // with wm ~0.59. Scanning top-10 reliably finds at least one Memory/BacklogItem/Entity.
-    // Out-of-bounds json_array_get returns "" → json_get("","...") returns "" →
-    // auto_term_try_slot is a no-op → safe for WM sets smaller than 10.
+    // str_find_chars finds the first space/colon/bracket delimiter. sp > 3 guards against
+    // very short or bracket-prefixed labels like "[BacklogItem]" (sp=0, not > 3 → skipped).
+    // EL scoping: state_set/state_get pattern used because let inside if creates inner scope.
    //
-    // NODE TYPE FILTER (2026-06-19): Knowledge nodes excluded as seeds — they create
-    // self-reinforcing loops (Knowledge node activates its own first word, stays dominant).
-    // Only Memory/BacklogItem/Entity carry live contextual salience worth radiating from.
-    //
-    // SLOT ORDER: call 9→0 so slot 0 (highest WM weight) wins by last-write semantics.
+    // NODE TYPE FILTER (2026-06-19 self-review): only derive auto_term from Memory,
+    // BacklogItem, or Entity nodes. Knowledge nodes are stable reference material —
+    // using their first word as a curiosity seed creates a self-reinforcing loop: e.g.
+    // "Numeric tier strings in Engram..." (a Knowledge node) -> auto_term="Numeric" ->
+    // activates all "Numeric" nodes -> keeps that Knowledge node dominant in WM forever.
+    // Knowledge nodes should be REACHED by curiosity seeds, not drive them. Only dynamic
+    // personal/work nodes (Memory, BacklogItem, Entity) carry live contextual salience
+    // worth radiating from. (2026-06-11 origin; filter added 2026-06-19 self-review)
    state_set("cseed_auto", "")
-    let wm10: String = engram_wm_top_json(10)
-    let wm10_n9: String = json_array_get(wm10, 9)
-    let wm10_n8: String = json_array_get(wm10, 8)
-    let wm10_n7: String = json_array_get(wm10, 7)
-    let wm10_n6: String = json_array_get(wm10, 6)
-    let wm10_n5: String = json_array_get(wm10, 5)
-    let wm10_n4: String = json_array_get(wm10, 4)
-    let wm10_n3: String = json_array_get(wm10, 3)
-    let wm10_n2: String = json_array_get(wm10, 2)
-    let wm10_n1: String = json_array_get(wm10, 1)
-    let wm10_n0: String = json_array_get(wm10, 0)
-    auto_term_try_slot(json_get(wm10_n9, "node_type"), json_get(wm10_n9, "label"))
-    auto_term_try_slot(json_get(wm10_n8, "node_type"), json_get(wm10_n8, "label"))
-    auto_term_try_slot(json_get(wm10_n7, "node_type"), json_get(wm10_n7, "label"))
-    auto_term_try_slot(json_get(wm10_n6, "node_type"), json_get(wm10_n6, "label"))
-    auto_term_try_slot(json_get(wm10_n5, "node_type"), json_get(wm10_n5, "label"))
-    auto_term_try_slot(json_get(wm10_n4, "node_type"), json_get(wm10_n4, "label"))
-    auto_term_try_slot(json_get(wm10_n3, "node_type"), json_get(wm10_n3, "label"))
-    auto_term_try_slot(json_get(wm10_n2, "node_type"), json_get(wm10_n2, "label"))
-    auto_term_try_slot(json_get(wm10_n1, "node_type"), json_get(wm10_n1, "label"))
-    auto_term_try_slot(json_get(wm10_n0, "node_type"), json_get(wm10_n0, "label"))
+    let wm_top_j: String = engram_wm_top_json(1)
+    let wm_top_n: String = json_array_get(wm_top_j, 0)
+    let wm_top_lbl: String = json_get(wm_top_n, "label")
+    let wm_top_type: String = json_get(wm_top_n, "node_type")
+    // state_set/state_get pattern: EL let-inside-if creates inner scope only.
+    state_set("allow_auto", "0")
+    if str_eq(wm_top_type, "Memory") { state_set("allow_auto", "1") }
+    if str_eq(wm_top_type, "BacklogItem") { state_set("allow_auto", "1") }
+    if str_eq(wm_top_type, "Entity") { state_set("allow_auto", "1") }
+    let allow_auto: String = state_get("allow_auto")
+    if str_eq(allow_auto, "1") {
+        if !str_eq(wm_top_lbl, "") {
+            let sp: Int = str_find_chars(wm_top_lbl, " :([")
+            if sp > 3 {
+                state_set("cseed_auto", str_slice(wm_top_lbl, 0, sp))
+            }
+        }
+    }
    let auto_term: String = state_get("cseed_auto")
    let results_auto: String = if str_eq(auto_term, "") { "[]" } else { engram_activate_json(auto_term, 1) }
    let found_auto: Int = json_array_len(results_auto)
@@ -702,8 +678,6 @@ fn threat_trajectory_check(tool_name: String, tool_input: String) -> Int {
    return combined
 }

-// TODO(reliability #10): agentic_conv_history is process-global; awareness loop
-// and HTTP workers race on this key. Impact: noisy threat score only, not content.
 fn threat_history_append(text: String) -> Void {
    let current: String = state_get("agentic_conv_history")
    let safe_text: String = str_to_lower(text)
@@ -1,58 +1,38 @@
-// auto-generated by elc --emit-header — do not edit
+// auto-generated by elc --emit-header - do not edit
 extern fn chat_default_model() -> String
-extern fn engram_numeric_valid(s: String) -> Bool
-extern fn parse_float_x100(s: String) -> Int
-extern fn engram_score_node(node_json: String) -> Int
-extern fn engram_render_node(node_json: String) -> String
-extern fn engram_render_nodes(nodes_json: String) -> String
-extern fn engram_dedup_nodes(nodes_json: String) -> String
-extern fn engram_compile_ranked(nodes_json: String, max_nodes: Int) -> String
-extern fn engram_split_topics(message: String) -> String
-extern fn engram_extract_entities(message: String) -> String
-extern fn engram_detect_recall_intent(message: String) -> Bool
-extern fn engram_is_continuation(message: String, hist_len: Int) -> Bool
-extern fn engram_compile_multi(topic: String) -> String
-extern fn engram_nodes_merge(a: String, b: String) -> String
-extern fn id_in_seen(node_id: String, seen: String) -> Bool
-extern fn add_to_seen(seen: String, node_id: String) -> String
-extern fn engram_extract_ids(nodes_json: String) -> String
+extern fn gemini_api_key() -> String
+extern fn xai_api_key() -> String
+extern fn llm_call_grok(model: String, system: String, message: String) -> String
+extern fn llm_call_gemini(model: String, system: String, message: String) -> String
+extern fn build_identity_from_graph() -> String
 extern fn engram_compile(intent: String) -> String
 extern fn json_safe(s: String) -> String
-extern fn build_system_prompt(ctx: String, chat_mode: Bool) -> String
+extern fn build_system_prompt(ctx: String) -> String
 extern fn hist_append(hist: String, role: String, content: String) -> String
 extern fn hist_trim(hist: String) -> String
-extern fn hist_trim_with_bell_guard(hist: String) -> String
 extern fn clean_llm_response(s: String) -> String
 extern fn conv_history_persist(hist: String) -> Void
 extern fn conv_history_load() -> String
-extern fn session_preload_bullets(nodes: String, max_bullets: Int, snip_len: Int) -> String
 extern fn handle_chat(body: String) -> String
 extern fn handle_see(body: String) -> String
 extern fn studio_tools_json() -> String
 extern fn agentic_api_key() -> String
+extern fn call_neuron_mcp(tool_name: String, args_json: String) -> String
 extern fn agentic_tools_literal() -> String
 extern fn agentic_tools_with_web() -> String
-extern fn connector_tools_json() -> String
-extern fn agentic_tools_all() -> String
-extern fn call_mcp_bridge(tool_name: String, tool_input: String) -> String
-extern fn tool_auto_approved(tool_name: String) -> Bool
-extern fn call_neuron_mcp(tool_name: String, args: String) -> String
-extern fn agent_workspace_root() -> String
-extern fn path_within_root(path: String, root: String) -> Bool
-extern fn resolve_in_root(path: String, root: String) -> String
 extern fn dispatch_tool(tool_name: String, tool_input: String) -> String
-extern fn is_builtin_tool(tool_name: String) -> Bool
-extern fn next_bridge_id() -> String
+extern fn json_array_append(arr: String, item: String) -> String
+extern fn append_tool_log(log: String, name: String) -> String
+extern fn exec_tool_block(block: String) -> String
+extern fn agentic_blob(model: String, system: String, tools_json: String, messages: String, origin: String, approval: Bool, iteration: Int, tools_log: String, content: String, queue: String, results: String, next: Int) -> String
+extern fn extract_all_text(s: String) -> String
+extern fn strip_citations(s: String) -> String
+extern fn agentic_api_turn(model: String, safe_sys: String, tools_json: String, messages: String) -> String
+extern fn agentic_engine(session_id: String, blob: String) -> String
 extern fn handle_chat_agentic(body: String) -> String
-extern fn agentic_loop(session_id: String, model: String, safe_sys: String, tools_json: String, messages_in: String, h: Map, tools_log_in: String) -> String
-extern fn bridge_save(session_id: String, model: String, safe_sys: String, tools_json: String, messages: String, tools_log: String, tool_use_id: String) -> Bool
-extern fn agentic_resume(session_id: String, tool_use_id: String, content: String) -> String
-extern fn handle_tool_result(session_id: String, body: String) -> String
+extern fn handle_session_approve(session_id: String, body: String) -> String
 extern fn handle_chat_as_soul(body: String) -> String
 extern fn handle_dharma_room_turn(body: String) -> String
 extern fn handle_dharma_room_turn_agentic(body: String) -> String
-extern fn session_summary_write(summary_text: String) -> String
-extern fn session_summary_write_dated(summary_text: String, label: String) -> String
-extern fn session_summary_autogenerate(hist: String) -> String
 extern fn auto_persist(req: String, resp: String) -> Void
 extern fn strengthen_chat_nodes(activation_nodes: String) -> Void
@@ -25,7 +25,6 @@ el_val_t elapsed_ms(void);
 el_val_t elapsed_human(void);
 el_val_t embed_ok(void);
 el_val_t emit_heartbeat(void);
-el_val_t auto_term_try_slot(el_val_t slot_type, el_val_t slot_lbl);
 el_val_t proactive_curiosity(void);
 el_val_t pulse_count(void);
 el_val_t pulse_inc(void);
@@ -43,6 +42,110 @@ el_val_t threat_score_history(el_val_t history);
 el_val_t threat_trajectory_check(el_val_t tool_name, el_val_t tool_input);
 el_val_t threat_history_append(el_val_t text);

+el_val_t tier_working(void) {
+  return EL_STR("Working");
+  return 0;
+}
+
+el_val_t tier_episodic(void) {
+  return EL_STR("Episodic");
+  return 0;
+}
+
+el_val_t tier_canonical(void) {
+  return EL_STR("Canonical");
+  return 0;
+}
+
+el_val_t mem_store(el_val_t content, el_val_t label, el_val_t tags) {
+  return engram_node_full(content, EL_STR("Memory"), label, el_from_float(el_from_float(0.5)), el_from_float(el_from_float(0.5)), el_from_float(el_from_float(0.8)), EL_STR("Working"), tags);
+  return 0;
+}
+
+el_val_t mem_remember(el_val_t content, el_val_t tags) {
+  return mem_store(content, EL_STR("soul-memory"), tags);
+  return 0;
+}
+
+el_val_t mem_recall(el_val_t query, el_val_t depth) {
+  return engram_activate_json(query, depth);
+  return 0;
+}
+
+el_val_t mem_search(el_val_t query, el_val_t limit) {
+  return engram_search_json(query, limit);
+  return 0;
+}
+
+el_val_t mem_strengthen(el_val_t node_id) {
+  engram_strengthen(node_id);
+  return 0;
+}
+
+el_val_t mem_forget(el_val_t node_id) {
+  engram_forget(node_id);
+  return 0;
+}
+
+el_val_t mem_consolidate(void) {
+  el_val_t scanned = engram_node_count();
+  el_val_t dummy = engram_scan_nodes_json(100, 0);
+  el_val_t total_nodes = engram_node_count();
+  el_val_t total_edges = engram_edge_count();
+  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"scanned\":"), int_to_str(scanned)), EL_STR(",\"total_nodes\":")), int_to_str(total_nodes)), EL_STR(",\"total_edges\":")), int_to_str(total_edges)), EL_STR("}"));
+  return 0;
+}
+
+el_val_t mem_save(el_val_t path) {
+  engram_save(path);
+  return 0;
+}
+
+el_val_t mem_load(el_val_t path) {
+  engram_load(path);
+  return 0;
+}
+
+el_val_t mem_boot_count_get(void) {
+  el_val_t results = engram_search_json(EL_STR("soul:boot_count"), 3);
+  if (str_eq(results, EL_STR(""))) {
+    return 0;
+  }
+  if (str_eq(results, EL_STR("[]"))) {
+    return 0;
+  }
+  el_val_t node = json_array_get(results, 0);
+  el_val_t content = json_get(node, EL_STR("content"));
+  el_val_t prefix = EL_STR("soul:boot_count:");
+  if (!str_starts_with(content, prefix)) {
+    return 0;
+  }
+  el_val_t num_str = str_slice(content, str_len(prefix), str_len(content));
+  return str_to_int(num_str);
+  return 0;
+}
+
+el_val_t mem_boot_count_inc(void) {
+  el_val_t current = mem_boot_count_get();
+  el_val_t next = (current + 1);
+  el_val_t content = el_str_concat(EL_STR("soul:boot_count:"), int_to_str(next));
+  el_val_t tags = EL_STR("[\"soul-meta\",\"boot-counter\"]");
+  el_val_t discard = engram_node_full(content, EL_STR("Memory"), EL_STR("soul:boot_count"), el_from_float(el_from_float(0.9)), el_from_float(el_from_float(0.9)), el_from_float(el_from_float(1.0)), EL_STR("Canonical"), tags);
+  return next;
+  return 0;
+}
+
+el_val_t mem_emit_state_event(el_val_t trigger, el_val_t kind, el_val_t content) {
+  el_val_t boot = mem_boot_count_get();
+  el_val_t ts = time_now();
+  el_val_t safe_trigger = str_replace(trigger, EL_STR("\""), EL_STR("'"));
+  el_val_t safe_content = str_replace(content, EL_STR("\""), EL_STR("'"));
+  el_val_t payload = el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"trigger\":\""), safe_trigger), EL_STR("\"")), EL_STR(",\"kind\":\"")), kind), EL_STR("\"")), EL_STR(",\"content\":\"")), safe_content), EL_STR("\"")), EL_STR(",\"boot\":")), int_to_str(boot)), EL_STR(",\"ts\":")), int_to_str(ts)), EL_STR("}"));
+  el_val_t tags = EL_STR("[\"internal-state\",\"pre-reasoning\",\"InternalStateEvent\"]");
+  return engram_node_full(payload, EL_STR("InternalStateEvent"), el_str_concat(EL_STR("state-event:"), kind), el_from_float(el_from_float(0.85)), el_from_float(el_from_float(0.8)), el_from_float(el_from_float(0.9)), EL_STR("Episodic"), tags);
+  return 0;
+}
+
 el_val_t idle_count(void) {
  el_val_t s = state_get(EL_STR("soul.idle"));
  if (str_eq(s, EL_STR(""))) {
@@ -68,7 +171,7 @@ el_val_t ise_post(el_val_t content) {
  el_val_t ise_url = env(EL_STR("SOUL_ISE_URL"));
  el_val_t engram_url = ({ el_val_t _if_result_1 = 0; if (str_eq(ise_url, EL_STR(""))) { _if_result_1 = (state_get(EL_STR("soul_engram_url"))); } else { _if_result_1 = (ise_url); } _if_result_1; });
  if (str_eq(engram_url, EL_STR(""))) {
-    el_val_t discard = engram_node_full(content, EL_STR("InternalStateEvent"), EL_STR("state-event"), el_from_float(0.3), el_from_float(0.3), el_from_float(0.8), EL_STR("Episodic"), EL_STR("[\"internal-state\",\"InternalStateEvent\"]"));
+    el_val_t discard = engram_node_full(content, EL_STR("InternalStateEvent"), EL_STR("state-event"), el_from_float(el_from_float(0.3)), el_from_float(el_from_float(0.3)), el_from_float(el_from_float(0.8)), EL_STR("Episodic"), EL_STR("[\"internal-state\",\"InternalStateEvent\"]"));
    return EL_STR("");
  }
  el_val_t safe1 = str_replace(content, EL_STR("\\"), EL_STR("\\\\"));
@@ -142,29 +245,6 @@ el_val_t emit_heartbeat(void) {
  return 0;
 }

-el_val_t auto_term_try_slot(el_val_t slot_type, el_val_t slot_lbl) {
-  state_set(EL_STR("_ats_ok"), EL_STR("0"));
-  if (str_eq(slot_type, EL_STR("Memory"))) {
-    state_set(EL_STR("_ats_ok"), EL_STR("1"));
-  }
-  if (str_eq(slot_type, EL_STR("BacklogItem"))) {
-    state_set(EL_STR("_ats_ok"), EL_STR("1"));
-  }
-  if (str_eq(slot_type, EL_STR("Entity"))) {
-    state_set(EL_STR("_ats_ok"), EL_STR("1"));
-  }
-  if (str_eq(state_get(EL_STR("_ats_ok")), EL_STR("1"))) {
-    if (!str_eq(slot_lbl, EL_STR(""))) {
-      el_val_t sp = str_find_chars(slot_lbl, EL_STR(" :(["));
-      if (sp > 3) {
-        state_set(EL_STR("cseed_auto"), str_slice(slot_lbl, 0, sp));
-      }
-    }
-  }
-  return EL_STR("");
-  return 0;
-}
-
 el_val_t proactive_curiosity(void) {
  el_val_t ts = time_now();
  el_val_t ts_minutes = (ts / 60000);
@@ -202,27 +282,29 @@ el_val_t proactive_curiosity(void) {
  el_val_t found_c = json_array_len(results_c);
  el_val_t found = ((found_a + found_b) + found_c);
  state_set(EL_STR("cseed_auto"), EL_STR(""));
-  el_val_t wm10 = engram_wm_top_json(10);
-  el_val_t wm10_n9 = json_array_get(wm10, 9);
-  el_val_t wm10_n8 = json_array_get(wm10, 8);
-  el_val_t wm10_n7 = json_array_get(wm10, 7);
-  el_val_t wm10_n6 = json_array_get(wm10, 6);
-  el_val_t wm10_n5 = json_array_get(wm10, 5);
-  el_val_t wm10_n4 = json_array_get(wm10, 4);
-  el_val_t wm10_n3 = json_array_get(wm10, 3);
-  el_val_t wm10_n2 = json_array_get(wm10, 2);
-  el_val_t wm10_n1 = json_array_get(wm10, 1);
-  el_val_t wm10_n0 = json_array_get(wm10, 0);
-  auto_term_try_slot(json_get(wm10_n9, EL_STR("node_type")), json_get(wm10_n9, EL_STR("label")));
-  auto_term_try_slot(json_get(wm10_n8, EL_STR("node_type")), json_get(wm10_n8, EL_STR("label")));
-  auto_term_try_slot(json_get(wm10_n7, EL_STR("node_type")), json_get(wm10_n7, EL_STR("label")));
-  auto_term_try_slot(json_get(wm10_n6, EL_STR("node_type")), json_get(wm10_n6, EL_STR("label")));
-  auto_term_try_slot(json_get(wm10_n5, EL_STR("node_type")), json_get(wm10_n5, EL_STR("label")));
-  auto_term_try_slot(json_get(wm10_n4, EL_STR("node_type")), json_get(wm10_n4, EL_STR("label")));
-  auto_term_try_slot(json_get(wm10_n3, EL_STR("node_type")), json_get(wm10_n3, EL_STR("label")));
-  auto_term_try_slot(json_get(wm10_n2, EL_STR("node_type")), json_get(wm10_n2, EL_STR("label")));
-  auto_term_try_slot(json_get(wm10_n1, EL_STR("node_type")), json_get(wm10_n1, EL_STR("label")));
-  auto_term_try_slot(json_get(wm10_n0, EL_STR("node_type")), json_get(wm10_n0, EL_STR("label")));
+  el_val_t wm_top_j = engram_wm_top_json(1);
+  el_val_t wm_top_n = json_array_get(wm_top_j, 0);
+  el_val_t wm_top_lbl = json_get(wm_top_n, EL_STR("label"));
+  el_val_t wm_top_type = json_get(wm_top_n, EL_STR("node_type"));
+  state_set(EL_STR("allow_auto"), EL_STR("0"));
+  if (str_eq(wm_top_type, EL_STR("Memory"))) {
+    state_set(EL_STR("allow_auto"), EL_STR("1"));
+  }
+  if (str_eq(wm_top_type, EL_STR("BacklogItem"))) {
+    state_set(EL_STR("allow_auto"), EL_STR("1"));
+  }
+  if (str_eq(wm_top_type, EL_STR("Entity"))) {
+    state_set(EL_STR("allow_auto"), EL_STR("1"));
+  }
+  el_val_t allow_auto = state_get(EL_STR("allow_auto"));
+  if (str_eq(allow_auto, EL_STR("1"))) {
+    if (!str_eq(wm_top_lbl, EL_STR(""))) {
+      el_val_t sp = str_find_chars(wm_top_lbl, EL_STR(" :(["));
+      if (sp > 3) {
+        state_set(EL_STR("cseed_auto"), str_slice(wm_top_lbl, 0, sp));
+      }
+    }
+  }
  el_val_t auto_term = state_get(EL_STR("cseed_auto"));
  el_val_t results_auto = ({ el_val_t _if_result_3 = 0; if (str_eq(auto_term, EL_STR(""))) { _if_result_3 = (EL_STR("[]")); } else { _if_result_3 = (engram_activate_json(auto_term, 1)); } _if_result_3; });
  el_val_t found_auto = json_array_len(results_auto);
@@ -576,3 +658,8 @@ el_val_t threat_history_append(el_val_t text) {
  return 0;
 }

+int main(int _argc, char** _argv) {
+  el_runtime_init_args(_argc, _argv);
+  return 0;
+}
+
@@ -1,58 +1,29 @@
-// auto-generated by elc --emit-header — do not edit
+// auto-generated by elc --emit-header - do not edit
 extern fn chat_default_model() -> String
-extern fn engram_numeric_valid(s: String) -> Bool
-extern fn parse_float_x100(s: String) -> Int
-extern fn engram_score_node(node_json: String) -> Int
-extern fn engram_render_node(node_json: String) -> String
-extern fn engram_render_nodes(nodes_json: String) -> String
-extern fn engram_dedup_nodes(nodes_json: String) -> String
-extern fn engram_compile_ranked(nodes_json: String, max_nodes: Int) -> String
-extern fn engram_split_topics(message: String) -> String
-extern fn engram_extract_entities(message: String) -> String
-extern fn engram_detect_recall_intent(message: String) -> Bool
-extern fn engram_is_continuation(message: String, hist_len: Int) -> Bool
-extern fn engram_compile_multi(topic: String) -> String
-extern fn engram_nodes_merge(a: String, b: String) -> String
-extern fn id_in_seen(node_id: String, seen: String) -> Bool
-extern fn add_to_seen(seen: String, node_id: String) -> String
-extern fn engram_extract_ids(nodes_json: String) -> String
+extern fn gemini_api_key() -> String
+extern fn xai_api_key() -> String
+extern fn llm_call_grok(model: String, system: String, message: String) -> String
+extern fn llm_call_gemini(model: String, system: String, message: String) -> String
+extern fn build_identity_from_graph() -> String
 extern fn engram_compile(intent: String) -> String
 extern fn json_safe(s: String) -> String
-extern fn build_system_prompt(ctx: String, chat_mode: Bool) -> String
+extern fn build_system_prompt(ctx: String) -> String
 extern fn hist_append(hist: String, role: String, content: String) -> String
 extern fn hist_trim(hist: String) -> String
-extern fn hist_trim_with_bell_guard(hist: String) -> String
 extern fn clean_llm_response(s: String) -> String
 extern fn conv_history_persist(hist: String) -> Void
 extern fn conv_history_load() -> String
-extern fn session_preload_bullets(nodes: String, max_bullets: Int, snip_len: Int) -> String
 extern fn handle_chat(body: String) -> String
 extern fn handle_see(body: String) -> String
 extern fn studio_tools_json() -> String
 extern fn agentic_api_key() -> String
+extern fn call_neuron_mcp(tool_name: String, args_json: String) -> String
 extern fn agentic_tools_literal() -> String
 extern fn agentic_tools_with_web() -> String
-extern fn connector_tools_json() -> String
-extern fn agentic_tools_all() -> String
-extern fn call_mcp_bridge(tool_name: String, tool_input: String) -> String
-extern fn tool_auto_approved(tool_name: String) -> Bool
-extern fn call_neuron_mcp(tool_name: String, args: String) -> String
-extern fn agent_workspace_root() -> String
-extern fn path_within_root(path: String, root: String) -> Bool
-extern fn resolve_in_root(path: String, root: String) -> String
 extern fn dispatch_tool(tool_name: String, tool_input: String) -> String
-extern fn is_builtin_tool(tool_name: String) -> Bool
-extern fn next_bridge_id() -> String
 extern fn handle_chat_agentic(body: String) -> String
-extern fn agentic_loop(session_id: String, model: String, safe_sys: String, tools_json: String, messages_in: String, h: Map, tools_log_in: String) -> String
-extern fn bridge_save(session_id: String, model: String, safe_sys: String, tools_json: String, messages: String, tools_log: String, tool_use_id: String) -> Bool
-extern fn agentic_resume(session_id: String, tool_use_id: String, content: String) -> String
-extern fn handle_tool_result(session_id: String, body: String) -> String
 extern fn handle_chat_as_soul(body: String) -> String
 extern fn handle_dharma_room_turn(body: String) -> String
 extern fn handle_dharma_room_turn_agentic(body: String) -> String
-extern fn session_summary_write(summary_text: String) -> String
-extern fn session_summary_write_dated(summary_text: String, label: String) -> String
-extern fn session_summary_autogenerate(hist: String) -> String
 extern fn auto_persist(req: String, resp: String) -> Void
 extern fn strengthen_chat_nodes(activation_nodes: String) -> Void
@@ -2,17 +2,9 @@
 #include "el_runtime.h"

 el_val_t add_punct(el_val_t s, el_val_t intent);
-el_val_t aff_try_slot(el_val_t slot_json, el_val_t aff_7d_ts, el_val_t acc_key);
 el_val_t agent_number(el_val_t agent);
 el_val_t agent_person(el_val_t agent);
-el_val_t agent_workspace_root(void);
 el_val_t agentic_api_key(void);
-el_val_t agentic_api_turn(el_val_t model, el_val_t safe_sys, el_val_t tools_json, el_val_t messages);
-el_val_t agentic_blob(el_val_t model, el_val_t system, el_val_t tools_json, el_val_t messages, el_val_t origin, el_val_t approval, el_val_t iteration, el_val_t tools_log, el_val_t content, el_val_t queue, el_val_t results, el_val_t next);
-el_val_t agentic_engine(el_val_t session_id, el_val_t blob);
-el_val_t agentic_loop(el_val_t session_id, el_val_t model, el_val_t safe_sys, el_val_t tools_json, el_val_t messages_in, el_val_t h, el_val_t tools_log_in);
-el_val_t agentic_resume(el_val_t session_id, el_val_t tool_use_id, el_val_t content);
-el_val_t agentic_tools_all(void);
 el_val_t agentic_tools_literal(void);
 el_val_t agentic_tools_with_web(void);
 el_val_t agree_determiner(el_val_t det, el_val_t noun);
@@ -97,7 +89,6 @@ el_val_t api_ok(el_val_t extra);
 el_val_t api_or_empty(el_val_t s);
 el_val_t api_query_int(el_val_t path, el_val_t key, el_val_t default_val);
 el_val_t api_query_param(el_val_t path, el_val_t key);
-el_val_t append_tool_log(el_val_t log, el_val_t name);
 el_val_t ar_case_ending(el_val_t kase, el_val_t definite);
 el_val_t ar_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t gender, el_val_t number);
 el_val_t ar_conjugate_form1(el_val_t past_base, el_val_t present_stem, el_val_t tense, el_val_t slot);
@@ -127,11 +118,9 @@ el_val_t ar_verb_form(el_val_t verb, el_val_t tense, el_val_t person, el_val_t n
 el_val_t attend(el_val_t node_json);
 el_val_t auth_headers(el_val_t tok);
 el_val_t auto_persist(el_val_t req, el_val_t resp);
-el_val_t auto_term_try_slot(el_val_t slot_type, el_val_t slot_lbl);
 el_val_t awareness_run(void);
 el_val_t axon_get(el_val_t path);
 el_val_t axon_post(el_val_t path, el_val_t body);
-el_val_t bridge_save(el_val_t session_id, el_val_t model, el_val_t safe_sys, el_val_t tools_json, el_val_t messages, el_val_t tools_log, el_val_t tool_use_id);
 el_val_t build_form_from_json(el_val_t semantic_form_json, el_val_t lang_code);
 el_val_t build_identity_from_graph(void);
 el_val_t build_np(el_val_t referent, el_val_t slots);
@@ -141,13 +130,10 @@ el_val_t build_system_prompt(el_val_t ctx);
 el_val_t build_vocab(void);
 el_val_t build_vp_body(el_val_t slots);
 el_val_t build_vp_from_slots(el_val_t slots);
-el_val_t call_mcp_bridge(el_val_t tool_name, el_val_t tool_input);
-el_val_t call_neuron_mcp(el_val_t tool_name, el_val_t args);
 el_val_t call_neuron_mcp(el_val_t tool_name, el_val_t args_json);
 el_val_t capitalize_first(el_val_t s);
 el_val_t chat_default_model(void);
 el_val_t clean_llm_response(el_val_t s);
-el_val_t connector_tools_json(void);
 el_val_t conv_history_load(void);
 el_val_t conv_history_persist(el_val_t hist);
 el_val_t cop_article(el_val_t gender, el_val_t number, el_val_t definite);
@@ -283,7 +269,6 @@ el_val_t enm_str_ends(el_val_t s, el_val_t suf);
 el_val_t enm_weak_past(el_val_t stem, el_val_t slot);
 el_val_t enm_weak_present(el_val_t stem, el_val_t slot);
 el_val_t enm_weak_stem(el_val_t verb);
-el_val_t ensure_self_canonical_bridge(void);
 el_val_t entry_form(el_val_t entry, el_val_t n);
 el_val_t entry_found(el_val_t entry);
 el_val_t entry_pos(el_val_t entry);
@@ -312,8 +297,6 @@ el_val_t es_str_last2(el_val_t s);
 el_val_t es_str_last3(el_val_t s);
 el_val_t es_str_last_char(el_val_t s);
 el_val_t es_verb_class(el_val_t base);
-el_val_t exec_tool_block(el_val_t block);
-el_val_t extract_all_text(el_val_t s);
 el_val_t extract_dim(el_val_t content, el_val_t key);
 el_val_t fi_apply_case(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t fi_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
@@ -332,7 +315,6 @@ el_val_t fi_str_last_char(el_val_t s);
 el_val_t fi_suffix(el_val_t base, el_val_t harmony);
 el_val_t fi_verb_stem(el_val_t dict_form);
 el_val_t find_rule(el_val_t rule_id_str);
-el_val_t flag_true(el_val_t body, el_val_t key);
 el_val_t fr_agree_article(el_val_t noun, el_val_t definite, el_val_t number);
 el_val_t fr_avoir_present(el_val_t slot);
 el_val_t fr_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
@@ -584,12 +566,9 @@ el_val_t handle_dharma_room_turn_agentic(el_val_t body);
 el_val_t handle_elp_chat(el_val_t body);
 el_val_t handle_nlg(el_val_t path, el_val_t method, el_val_t body);
 el_val_t handle_request(el_val_t method, el_val_t path, el_val_t body);
-el_val_t handle_safety_contact_get(void);
-el_val_t handle_safety_contact_post(el_val_t body);
 el_val_t handle_see(el_val_t body);
 el_val_t handle_session_approve(el_val_t session_id, el_val_t body);
 el_val_t handle_tool(el_val_t path, el_val_t method, el_val_t body);
-el_val_t handle_tool_result(el_val_t session_id, el_val_t body);
 el_val_t hard_bell_threshold(void);
 el_val_t he_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t gender, el_val_t number);
 el_val_t he_conjugate_copula(el_val_t tense, el_val_t slot);
@@ -660,7 +639,6 @@ el_val_t imprint_unload(void);
 el_val_t init_soul_edges(void);
 el_val_t irregular_plural(el_val_t word);
 el_val_t irregular_singular(el_val_t word);
-el_val_t is_builtin_tool(el_val_t tool_name);
 el_val_t is_pronoun(el_val_t word);
 el_val_t is_protected_node(el_val_t id);
 el_val_t is_vowel(el_val_t c);
@@ -673,7 +651,6 @@ el_val_t ja_noun_phrase(el_val_t noun, el_val_t gram_case);
 el_val_t ja_particle(el_val_t gram_case);
 el_val_t ja_question_particle(void);
 el_val_t ja_verb_group(el_val_t dict_form);
-el_val_t json_array_append(el_val_t arr, el_val_t item);
 el_val_t json_safe(el_val_t s);
 el_val_t la_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
 el_val_t la_declension(el_val_t noun);
@@ -760,7 +737,6 @@ el_val_t lang_profile_txb(void);
 el_val_t lang_profile_uga(void);
 el_val_t lang_profile_zh(void);
 el_val_t lang_word_order(el_val_t profile);
-el_val_t layered_cycle(el_val_t raw_input);
 el_val_t lex_class(el_val_t entry);
 el_val_t lex_form(el_val_t entry, el_val_t idx);
 el_val_t lex_pos(el_val_t entry);
@@ -804,7 +780,6 @@ el_val_t morph_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_
 el_val_t morph_inflect(el_val_t word, el_val_t features, el_val_t profile);
 el_val_t morph_map_canonical(el_val_t verb, el_val_t code);
 el_val_t morph_pluralize(el_val_t noun, el_val_t profile);
-el_val_t next_bridge_id(void);
 el_val_t nlg_is_ws(el_val_t c);
 el_val_t non_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
 el_val_t non_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
@@ -838,7 +813,6 @@ el_val_t non_weak_present(el_val_t stem, el_val_t slot);
 el_val_t one_cycle(void);
 el_val_t parse_session_id_from_path(el_val_t path);
 el_val_t parse_session_subpath(el_val_t path);
-el_val_t path_within_root(el_val_t path, el_val_t root);
 el_val_t peo_ah_past(el_val_t slot);
 el_val_t peo_ah_present(el_val_t slot);
 el_val_t peo_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
@@ -903,7 +877,6 @@ el_val_t realize_vp_lang(el_val_t base_verb, el_val_t tense, el_val_t aspect, el
 el_val_t record(el_val_t outcome_json);
 el_val_t render_studio(void);
 el_val_t render_tree(el_val_t tree);
-el_val_t resolve_in_root(el_val_t path, el_val_t root);
 el_val_t respond(el_val_t action_json);
 el_val_t route_health(void);
 el_val_t route_imprint_contextual(el_val_t body);
@@ -963,25 +936,12 @@ el_val_t sa_str_ends(el_val_t s, el_val_t suf);
 el_val_t sa_vad_future(el_val_t slot);
 el_val_t sa_vad_past(el_val_t slot);
 el_val_t sa_vad_present(el_val_t slot);
-el_val_t safety_abuse_phrases(void);
-el_val_t safety_any_match(el_val_t text, el_val_t phrases_json);
-el_val_t safety_augment_system(el_val_t system, el_val_t user_msg);
-el_val_t safety_classify_hard_bell(el_val_t message);
-el_val_t safety_contact_path(void);
-el_val_t safety_count_match(el_val_t text, el_val_t phrases_json);
-el_val_t safety_detect_bell_level(el_val_t message);
-el_val_t safety_general_hard_phrases(void);
-el_val_t safety_hard_directive(el_val_t hard_type);
 el_val_t safety_log_bell(el_val_t level, el_val_t reason, el_val_t input_summary);
-el_val_t safety_normalize(el_val_t message);
 el_val_t safety_score_crisis(el_val_t input);
 el_val_t safety_score_danger(el_val_t input);
 el_val_t safety_score_distress_history(el_val_t history);
 el_val_t safety_score_harm(el_val_t input);
 el_val_t safety_screen(el_val_t input, el_val_t history);
-el_val_t safety_self_harm_phrases(void);
-el_val_t safety_soft_directive(void);
-el_val_t safety_soft_phrases(void);
 el_val_t safety_threat_score(el_val_t input, el_val_t history);
 el_val_t safety_validate(el_val_t output, el_val_t action);
 el_val_t scan_token(el_val_t s, el_val_t start);
@@ -1058,7 +1018,6 @@ el_val_t str_last2(el_val_t s);
 el_val_t str_last3(el_val_t s);
 el_val_t str_last_char(el_val_t s);
 el_val_t strengthen_chat_nodes(el_val_t activation_nodes);
-el_val_t strip_citations(el_val_t s);
 el_val_t strip_query(el_val_t path);
 el_val_t studio_tools_json(void);
 el_val_t sux_absolutive_suffix(el_val_t person, el_val_t number);
@@ -1119,7 +1078,6 @@ el_val_t threat_trajectory_check(el_val_t tool_name, el_val_t tool_input);
 el_val_t tier_canonical(void);
 el_val_t tier_episodic(void);
 el_val_t tier_working(void);
-el_val_t tool_auto_approved(el_val_t tool_name);
 el_val_t txb_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
 el_val_t txb_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t txb_decline_fem(el_val_t noun, el_val_t gram_case, el_val_t number);
@@ -70,3 +70,8 @@ el_val_t imprint_unload(void) {
  return 0;
 }

+int main(int _argc, char** _argv) {
+  el_runtime_init_args(_argc, _argv);
+  return 0;
+}
+
@@ -34,7 +34,7 @@ el_val_t tier_canonical(void) {
 }

 el_val_t mem_store(el_val_t content, el_val_t label, el_val_t tags) {
-  return engram_node_full(content, EL_STR("Memory"), label, el_from_float(0.5), el_from_float(0.5), el_from_float(0.8), EL_STR("Working"), tags);
+  return engram_node_full(content, EL_STR("Memory"), label, el_from_float(el_from_float(0.5)), el_from_float(el_from_float(0.5)), el_from_float(el_from_float(0.8)), EL_STR("Working"), tags);
  return 0;
 }

@@ -65,43 +65,15 @@ el_val_t mem_forget(el_val_t node_id) {

 el_val_t mem_consolidate(void) {
  el_val_t scanned = engram_node_count();
-  el_val_t total_edges = engram_edge_count();
-  el_val_t strengthened = 0;
-  el_val_t wm_top = engram_wm_top_json(10);
-  el_val_t wm_len = json_array_len(wm_top);
-  el_val_t wi = 0;
-  while (wi < wm_len) {
-    el_val_t wm_node = json_array_get(wm_top, wi);
-    el_val_t wm_id = json_get(wm_node, EL_STR("id"));
-    if (!str_eq(wm_id, EL_STR(""))) {
-      engram_strengthen(wm_id);
-      strengthened = (strengthened + 1);
-    }
-    wi = (wi + 1);
-  }
-  el_val_t scan_result = engram_scan_nodes_json(50, 0);
-  el_val_t scan_len = json_array_len(scan_result);
-  el_val_t si = 0;
-  while (si < scan_len) {
-    el_val_t s_node = json_array_get(scan_result, si);
-    el_val_t s_tier = json_get(s_node, EL_STR("tier"));
-    el_val_t s_id = json_get(s_node, EL_STR("id"));
-    if (str_eq(s_tier, EL_STR("Canonical")) && !str_eq(s_id, EL_STR(""))) {
-      engram_strengthen(s_id);
-      strengthened = (strengthened + 1);
-    }
-    si = (si + 1);
-  }
+  el_val_t dummy = engram_scan_nodes_json(100, 0);
  el_val_t total_nodes = engram_node_count();
-  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"scanned\":"), int_to_str(scanned)), EL_STR(",\"total_nodes\":")), int_to_str(total_nodes)), EL_STR(",\"total_edges\":")), int_to_str(total_edges)), EL_STR(",\"strengthened\":")), int_to_str(strengthened)), EL_STR("}"));
+  el_val_t total_edges = engram_edge_count();
+  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"scanned\":"), int_to_str(scanned)), EL_STR(",\"total_nodes\":")), int_to_str(total_nodes)), EL_STR(",\"total_edges\":")), int_to_str(total_edges)), EL_STR("}"));
  return 0;
 }

 el_val_t mem_save(el_val_t path) {
-  el_val_t save_result = engram_save(path);
-  if (str_eq(save_result, EL_STR(""))) {
-    println(el_str_concat(el_str_concat(EL_STR("[memory] mem_save: engram_save failed for "), path), EL_STR(" \xe2\x80\x94 snapshot may be incomplete")));
-  }
+  engram_save(path);
  return 0;
 }

@@ -134,10 +106,7 @@ el_val_t mem_boot_count_inc(void) {
  el_val_t next = (current + 1);
  el_val_t content = el_str_concat(EL_STR("soul:boot_count:"), int_to_str(next));
  el_val_t tags = EL_STR("[\"soul-meta\",\"boot-counter\"]");
-  el_val_t boot_node_id = engram_node_full(content, EL_STR("Memory"), EL_STR("soul:boot_count"), el_from_float(0.9), el_from_float(0.9), el_from_float(1.0), EL_STR("Canonical"), tags);
-  if (str_eq(boot_node_id, EL_STR(""))) {
-    println(el_str_concat(el_str_concat(EL_STR("[memory] mem_boot_count_inc: engram write failed \xe2\x80\x94 boot counter node lost (count="), int_to_str(next)), EL_STR(")")));
-  }
+  el_val_t discard = engram_node_full(content, EL_STR("Memory"), EL_STR("soul:boot_count"), el_from_float(el_from_float(0.9)), el_from_float(el_from_float(0.9)), el_from_float(el_from_float(1.0)), EL_STR("Canonical"), tags);
  return next;
  return 0;
 }
@@ -149,7 +118,12 @@ el_val_t mem_emit_state_event(el_val_t trigger, el_val_t kind, el_val_t content)
  el_val_t safe_content = str_replace(content, EL_STR("\""), EL_STR("'"));
  el_val_t payload = el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"trigger\":\""), safe_trigger), EL_STR("\"")), EL_STR(",\"kind\":\"")), kind), EL_STR("\"")), EL_STR(",\"content\":\"")), safe_content), EL_STR("\"")), EL_STR(",\"boot\":")), int_to_str(boot)), EL_STR(",\"ts\":")), int_to_str(ts)), EL_STR("}"));
  el_val_t tags = EL_STR("[\"internal-state\",\"pre-reasoning\",\"InternalStateEvent\"]");
-  return engram_node_full(payload, EL_STR("InternalStateEvent"), el_str_concat(EL_STR("state-event:"), kind), el_from_float(0.85), el_from_float(0.8), el_from_float(0.9), EL_STR("Episodic"), tags);
+  return engram_node_full(payload, EL_STR("InternalStateEvent"), el_str_concat(EL_STR("state-event:"), kind), el_from_float(el_from_float(0.85)), el_from_float(el_from_float(0.8)), el_from_float(el_from_float(0.9)), EL_STR("Episodic"), tags);
+  return 0;
+}
+
+int main(int _argc, char** _argv) {
+  el_runtime_init_args(_argc, _argv);
  return 0;
 }

@@ -26,14 +26,9 @@ el_val_t api_ok(el_val_t extra);
 el_val_t api_err(el_val_t msg);
 el_val_t api_nonempty(el_val_t s);
 el_val_t api_or_empty(el_val_t s);
-el_val_t api_persisted(el_val_t id);
-el_val_t api_not_persisted(el_val_t id);
 el_val_t handle_api_begin_session(el_val_t body);
 el_val_t handle_api_compile_ctx(el_val_t body);
 el_val_t handle_api_remember(el_val_t body);
-el_val_t handle_api_node_create(el_val_t body);
-el_val_t handle_api_node_delete(el_val_t body);
-el_val_t handle_api_node_update(el_val_t body);
 el_val_t handle_api_recall(el_val_t method, el_val_t path, el_val_t body);
 el_val_t handle_api_search_knowledge(el_val_t method, el_val_t path, el_val_t body);
 el_val_t handle_api_browse_knowledge(el_val_t path, el_val_t body);
@@ -50,12 +45,114 @@ el_val_t handle_api_inspect_graph(el_val_t method, el_val_t path, el_val_t body)
 el_val_t handle_api_link_entities(el_val_t body);
 el_val_t handle_api_forget(el_val_t body);
 el_val_t handle_api_evolve_memory(el_val_t body);
-el_val_t handle_api_memory_delete(el_val_t body);
-el_val_t handle_api_memory_update(el_val_t body);
 el_val_t handle_api_cultivate(el_val_t body);
 el_val_t handle_api_list_typed(el_val_t node_type, el_val_t path, el_val_t body);
 el_val_t handle_api_consolidate(el_val_t body);

+el_val_t tier_working(void) {
+  return EL_STR("Working");
+  return 0;
+}
+
+el_val_t tier_episodic(void) {
+  return EL_STR("Episodic");
+  return 0;
+}
+
+el_val_t tier_canonical(void) {
+  return EL_STR("Canonical");
+  return 0;
+}
+
+el_val_t mem_store(el_val_t content, el_val_t label, el_val_t tags) {
+  return engram_node_full(content, EL_STR("Memory"), label, el_from_float(el_from_float(0.5)), el_from_float(el_from_float(0.5)), el_from_float(el_from_float(0.8)), EL_STR("Working"), tags);
+  return 0;
+}
+
+el_val_t mem_remember(el_val_t content, el_val_t tags) {
+  return mem_store(content, EL_STR("soul-memory"), tags);
+  return 0;
+}
+
+el_val_t mem_recall(el_val_t query, el_val_t depth) {
+  return engram_activate_json(query, depth);
+  return 0;
+}
+
+el_val_t mem_search(el_val_t query, el_val_t limit) {
+  return engram_search_json(query, limit);
+  return 0;
+}
+
+el_val_t mem_strengthen(el_val_t node_id) {
+  engram_strengthen(node_id);
+  return 0;
+}
+
+el_val_t mem_forget(el_val_t node_id) {
+  engram_forget(node_id);
+  return 0;
+}
+
+el_val_t mem_consolidate(void) {
+  el_val_t scanned = engram_node_count();
+  el_val_t dummy = engram_scan_nodes_json(100, 0);
+  el_val_t total_nodes = engram_node_count();
+  el_val_t total_edges = engram_edge_count();
+  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"scanned\":"), int_to_str(scanned)), EL_STR(",\"total_nodes\":")), int_to_str(total_nodes)), EL_STR(",\"total_edges\":")), int_to_str(total_edges)), EL_STR("}"));
+  return 0;
+}
+
+el_val_t mem_save(el_val_t path) {
+  engram_save(path);
+  return 0;
+}
+
+el_val_t mem_load(el_val_t path) {
+  engram_load(path);
+  return 0;
+}
+
+el_val_t mem_boot_count_get(void) {
+  el_val_t results = engram_search_json(EL_STR("soul:boot_count"), 3);
+  if (str_eq(results, EL_STR(""))) {
+    return 0;
+  }
+  if (str_eq(results, EL_STR("[]"))) {
+    return 0;
+  }
+  el_val_t node = json_array_get(results, 0);
+  el_val_t content = json_get(node, EL_STR("content"));
+  el_val_t prefix = EL_STR("soul:boot_count:");
+  if (!str_starts_with(content, prefix)) {
+    return 0;
+  }
+  el_val_t num_str = str_slice(content, str_len(prefix), str_len(content));
+  return str_to_int(num_str);
+  return 0;
+}
+
+el_val_t mem_boot_count_inc(void) {
+  el_val_t current = mem_boot_count_get();
+  el_val_t next = (current + 1);
+  el_val_t content = el_str_concat(EL_STR("soul:boot_count:"), int_to_str(next));
+  el_val_t tags = EL_STR("[\"soul-meta\",\"boot-counter\"]");
+  el_val_t discard = engram_node_full(content, EL_STR("Memory"), EL_STR("soul:boot_count"), el_from_float(el_from_float(0.9)), el_from_float(el_from_float(0.9)), el_from_float(el_from_float(1.0)), EL_STR("Canonical"), tags);
+  return next;
+  return 0;
+}
+
+el_val_t mem_emit_state_event(el_val_t trigger, el_val_t kind, el_val_t content) {
+  el_val_t boot = mem_boot_count_get();
+  el_val_t ts = time_now();
+  el_val_t safe_trigger = str_replace(trigger, EL_STR("\""), EL_STR("'"));
+  el_val_t safe_content = str_replace(content, EL_STR("\""), EL_STR("'"));
+  el_val_t payload = el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"trigger\":\""), safe_trigger), EL_STR("\"")), EL_STR(",\"kind\":\"")), kind), EL_STR("\"")), EL_STR(",\"content\":\"")), safe_content), EL_STR("\"")), EL_STR(",\"boot\":")), int_to_str(boot)), EL_STR(",\"ts\":")), int_to_str(ts)), EL_STR("}"));
+  el_val_t tags = EL_STR("[\"internal-state\",\"pre-reasoning\",\"InternalStateEvent\"]");
+  return engram_node_full(payload, EL_STR("InternalStateEvent"), el_str_concat(EL_STR("state-event:"), kind), el_from_float(el_from_float(0.85)), el_from_float(el_from_float(0.8)), el_from_float(el_from_float(0.9)), EL_STR("Episodic"), tags);
+  return 0;
+}
+
 el_val_t is_protected_node(el_val_t id) {
  if (str_eq(id, EL_STR("kn-efeb4a5b-5aff-4759-8a97-7233099be6ee"))) {
    return 1;
@@ -175,20 +272,6 @@ el_val_t api_or_empty(el_val_t s) {
  return 0;
 }

-el_val_t api_persisted(el_val_t id) {
-  if (str_eq(id, EL_STR(""))) {
-    return 0;
-  }
-  el_val_t node = engram_get_node_json(id);
-  return (!str_eq(node, EL_STR("")) && !str_eq(node, EL_STR("null")));
-  return 0;
-}
-
-el_val_t api_not_persisted(el_val_t id) {
-  return el_str_concat(el_str_concat(EL_STR("{\"ok\":false,\"error\":\"write_not_persisted\",\"id\":\""), id), EL_STR("\"}"));
-  return 0;
-}
-
 el_val_t handle_api_begin_session(el_val_t body) {
  el_val_t stats = engram_stats_json();
  el_val_t activated = engram_activate_json(EL_STR("session start recent memory important"), 2);
@@ -219,88 +302,18 @@ el_val_t handle_api_remember(el_val_t body) {
  el_val_t sal = ({ el_val_t _if_result_4 = 0; if (str_eq(sal_str, EL_STR("0.95"))) { _if_result_4 = (el_from_float(0.95)); } else { _if_result_4 = (({ el_val_t _if_result_5 = 0; if (str_eq(sal_str, EL_STR("0.75"))) { _if_result_5 = (el_from_float(0.75)); } else { _if_result_5 = (({ el_val_t _if_result_6 = 0; if (str_eq(sal_str, EL_STR("0.25"))) { _if_result_6 = (el_from_float(0.25)); } else { _if_result_6 = (el_from_float(0.5)); } _if_result_6; })); } _if_result_5; })); } _if_result_4; });
  el_val_t base_tags = ({ el_val_t _if_result_7 = 0; if (str_eq(tags_raw, EL_STR(""))) { _if_result_7 = (EL_STR("[\"Memory\"]")); } else { _if_result_7 = (tags_raw); } _if_result_7; });
  el_val_t final_tags = ({ el_val_t _if_result_8 = 0; if (str_eq(project, EL_STR(""))) { _if_result_8 = (base_tags); } else { el_val_t inner = str_slice(base_tags, 1, (str_len(base_tags) - 1)); _if_result_8 = (el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("["), inner), EL_STR(",\"project:")), project), EL_STR("\"]"))); } _if_result_8; });
-  el_val_t id = engram_node_full(content, EL_STR("Memory"), EL_STR("memory:remembered"), el_from_float(sal), el_from_float(sal), el_from_float(0.9), EL_STR("Episodic"), final_tags);
-  if (!api_persisted(id)) {
-    return api_not_persisted(id);
-  }
+  el_val_t id = engram_node_full(content, EL_STR("Memory"), EL_STR("memory:remembered"), el_from_float(sal), el_from_float(sal), el_from_float(el_from_float(0.9)), EL_STR("Episodic"), final_tags);
  return el_str_concat(el_str_concat(EL_STR("{\"id\":\""), id), EL_STR("\",\"ok\":true}"));
  return 0;
 }

-el_val_t handle_api_node_create(el_val_t body) {
-  el_val_t content = json_get(body, EL_STR("content"));
-  if (str_eq(content, EL_STR(""))) {
-    return api_err(EL_STR("content is required"));
-  }
-  el_val_t nt_raw = json_get(body, EL_STR("node_type"));
-  el_val_t node_type = ({ el_val_t _if_result_9 = 0; if (str_eq(nt_raw, EL_STR(""))) { _if_result_9 = (EL_STR("Memory")); } else { _if_result_9 = (nt_raw); } _if_result_9; });
-  el_val_t label_raw = json_get(body, EL_STR("label"));
-  el_val_t label = ({ el_val_t _if_result_10 = 0; if (str_eq(label_raw, EL_STR(""))) { _if_result_10 = (EL_STR("node:created")); } else { _if_result_10 = (label_raw); } _if_result_10; });
-  el_val_t tier_raw = json_get(body, EL_STR("tier"));
-  el_val_t tier = ({ el_val_t _if_result_11 = 0; if (str_eq(tier_raw, EL_STR(""))) { _if_result_11 = (EL_STR("Episodic")); } else { _if_result_11 = (tier_raw); } _if_result_11; });
-  el_val_t tags_raw = json_get(body, EL_STR("tags"));
-  el_val_t tags = ({ el_val_t _if_result_12 = 0; if (str_eq(tags_raw, EL_STR(""))) { _if_result_12 = (el_str_concat(el_str_concat(EL_STR("[\""), node_type), EL_STR("\"]"))); } else { _if_result_12 = (tags_raw); } _if_result_12; });
-  el_val_t importance = json_get(body, EL_STR("importance"));
-  el_val_t sal = ({ el_val_t _if_result_13 = 0; if (str_eq(importance, EL_STR("critical"))) { _if_result_13 = (el_from_float(0.95)); } else { _if_result_13 = (({ el_val_t _if_result_14 = 0; if (str_eq(importance, EL_STR("high"))) { _if_result_14 = (el_from_float(0.75)); } else { _if_result_14 = (({ el_val_t _if_result_15 = 0; if (str_eq(importance, EL_STR("low"))) { _if_result_15 = (el_from_float(0.25)); } else { _if_result_15 = (el_from_float(0.5)); } _if_result_15; })); } _if_result_14; })); } _if_result_13; });
-  el_val_t id = engram_node_full(content, node_type, label, el_from_float(sal), el_from_float(sal), el_from_float(0.9), tier, tags);
-  if (!api_persisted(id)) {
-    return api_not_persisted(id);
-  }
-  return el_str_concat(el_str_concat(EL_STR("{\"id\":\""), id), EL_STR("\",\"ok\":true}"));
-  return 0;
-}
-
-el_val_t handle_api_node_delete(el_val_t body) {
-  el_val_t id = json_get(body, EL_STR("id"));
-  if (str_eq(id, EL_STR(""))) {
-    return api_err(EL_STR("id is required"));
-  }
-  engram_forget(id);
-  return el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"id\":\""), id), EL_STR("\"}"));
-  return 0;
-}
-
-el_val_t handle_api_node_update(el_val_t body) {
-  el_val_t id = json_get(body, EL_STR("id"));
-  if (str_eq(id, EL_STR(""))) {
-    return api_err(EL_STR("id is required"));
-  }
-  if (!api_persisted(id)) {
-    return el_str_concat(el_str_concat(EL_STR("{\"ok\":false,\"error\":\"not_found\",\"id\":\""), id), EL_STR("\"}"));
-  }
-  el_val_t old = engram_get_node_json(id);
-  el_val_t body_content = json_get(body, EL_STR("content"));
-  el_val_t content = ({ el_val_t _if_result_16 = 0; if (str_eq(body_content, EL_STR(""))) { _if_result_16 = (json_get(old, EL_STR("content"))); } else { _if_result_16 = (body_content); } _if_result_16; });
-  el_val_t body_nt = json_get(body, EL_STR("node_type"));
-  el_val_t old_nt = json_get(old, EL_STR("node_type"));
-  el_val_t node_type = ({ el_val_t _if_result_17 = 0; if (!str_eq(body_nt, EL_STR(""))) { _if_result_17 = (body_nt); } else { _if_result_17 = (({ el_val_t _if_result_18 = 0; if (!str_eq(old_nt, EL_STR(""))) { _if_result_18 = (old_nt); } else { _if_result_18 = (EL_STR("Memory")); } _if_result_18; })); } _if_result_17; });
-  el_val_t body_label = json_get(body, EL_STR("label"));
-  el_val_t old_label = json_get(old, EL_STR("label"));
-  el_val_t label = ({ el_val_t _if_result_19 = 0; if (!str_eq(body_label, EL_STR(""))) { _if_result_19 = (body_label); } else { _if_result_19 = (({ el_val_t _if_result_20 = 0; if (!str_eq(old_label, EL_STR(""))) { _if_result_20 = (old_label); } else { _if_result_20 = (EL_STR("node:updated")); } _if_result_20; })); } _if_result_19; });
-  el_val_t body_tier = json_get(body, EL_STR("tier"));
-  el_val_t old_tier = json_get(old, EL_STR("tier"));
-  el_val_t tier = ({ el_val_t _if_result_21 = 0; if (!str_eq(body_tier, EL_STR(""))) { _if_result_21 = (body_tier); } else { _if_result_21 = (({ el_val_t _if_result_22 = 0; if (!str_eq(old_tier, EL_STR(""))) { _if_result_22 = (old_tier); } else { _if_result_22 = (EL_STR("Episodic")); } _if_result_22; })); } _if_result_21; });
-  el_val_t body_tags = json_get(body, EL_STR("tags"));
-  el_val_t tags = ({ el_val_t _if_result_23 = 0; if (str_eq(body_tags, EL_STR(""))) { _if_result_23 = (el_str_concat(el_str_concat(EL_STR("[\""), node_type), EL_STR("\"]"))); } else { _if_result_23 = (body_tags); } _if_result_23; });
-  el_val_t new_id = engram_node_full(content, node_type, label, el_from_float(0.5), el_from_float(0.5), el_from_float(0.8), tier, tags);
-  if (!api_persisted(new_id)) {
-    return api_not_persisted(new_id);
-  }
-  engram_forget(id);
-  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"id\":\""), new_id), EL_STR("\",\"replaced\":\"")), id), EL_STR("\",\"ok\":true}"));
-  return 0;
-}
-
 el_val_t handle_api_recall(el_val_t method, el_val_t path, el_val_t body) {
-  el_val_t url_q = ({ el_val_t _if_result_24 = 0; if (str_eq(api_query_param(path, EL_STR("query")), EL_STR(""))) { _if_result_24 = (api_query_param(path, EL_STR("q"))); } else { _if_result_24 = (api_query_param(path, EL_STR("query"))); } _if_result_24; });
-  el_val_t body_query = json_get(body, EL_STR("query"));
-  el_val_t body_q = json_get(body, EL_STR("q"));
-  el_val_t q = ({ el_val_t _if_result_25 = 0; if (!str_eq(url_q, EL_STR(""))) { _if_result_25 = (url_q); } else { _if_result_25 = (({ el_val_t _if_result_26 = 0; if (!str_eq(body_query, EL_STR(""))) { _if_result_26 = (body_query); } else { _if_result_26 = (body_q); } _if_result_26; })); } _if_result_25; });
+  el_val_t q = ({ el_val_t _if_result_9 = 0; if (str_eq(method, EL_STR("GET"))) { _if_result_9 = (api_query_param(path, EL_STR("query"))); } else { _if_result_9 = (json_get(body, EL_STR("query"))); } _if_result_9; });
  el_val_t chain = json_get(body, EL_STR("chain_name"));
  el_val_t limit = api_query_int(path, EL_STR("limit"), 0);
-  limit = ({ el_val_t _if_result_27 = 0; if ((limit == 0)) { _if_result_27 = (json_get_int(body, EL_STR("limit"))); } else { _if_result_27 = (limit); } _if_result_27; });
-  limit = ({ el_val_t _if_result_28 = 0; if ((limit == 0)) { _if_result_28 = (10); } else { _if_result_28 = (limit); } _if_result_28; });
-  el_val_t eff_q = ({ el_val_t _if_result_29 = 0; if (str_eq(q, EL_STR(""))) { _if_result_29 = (chain); } else { _if_result_29 = (q); } _if_result_29; });
+  limit = ({ el_val_t _if_result_10 = 0; if ((limit == 0)) { _if_result_10 = (json_get_int(body, EL_STR("limit"))); } else { _if_result_10 = (limit); } _if_result_10; });
+  limit = ({ el_val_t _if_result_11 = 0; if ((limit == 0)) { _if_result_11 = (10); } else { _if_result_11 = (limit); } _if_result_11; });
+  el_val_t eff_q = ({ el_val_t _if_result_12 = 0; if (str_eq(q, EL_STR(""))) { _if_result_12 = (chain); } else { _if_result_12 = (q); } _if_result_12; });
  if (str_eq(eff_q, EL_STR(""))) {
    return api_or_empty(engram_scan_nodes_json(limit, 0));
  }
@@ -310,13 +323,10 @@ el_val_t handle_api_recall(el_val_t method, el_val_t path, el_val_t body) {
 }

 el_val_t handle_api_search_knowledge(el_val_t method, el_val_t path, el_val_t body) {
-  el_val_t url_q = api_query_param(path, EL_STR("q"));
-  el_val_t body_query = json_get(body, EL_STR("query"));
-  el_val_t body_q = json_get(body, EL_STR("q"));
-  el_val_t q = ({ el_val_t _if_result_30 = 0; if (!str_eq(url_q, EL_STR(""))) { _if_result_30 = (url_q); } else { _if_result_30 = (({ el_val_t _if_result_31 = 0; if (!str_eq(body_query, EL_STR(""))) { _if_result_31 = (body_query); } else { _if_result_31 = (body_q); } _if_result_31; })); } _if_result_30; });
+  el_val_t q = ({ el_val_t _if_result_13 = 0; if (str_eq(method, EL_STR("GET"))) { _if_result_13 = (api_query_param(path, EL_STR("q"))); } else { _if_result_13 = (json_get(body, EL_STR("query"))); } _if_result_13; });
  el_val_t limit = api_query_int(path, EL_STR("limit"), 0);
-  limit = ({ el_val_t _if_result_32 = 0; if ((limit == 0)) { _if_result_32 = (json_get_int(body, EL_STR("limit"))); } else { _if_result_32 = (limit); } _if_result_32; });
-  limit = ({ el_val_t _if_result_33 = 0; if ((limit == 0)) { _if_result_33 = (10); } else { _if_result_33 = (limit); } _if_result_33; });
+  limit = ({ el_val_t _if_result_14 = 0; if ((limit == 0)) { _if_result_14 = (json_get_int(body, EL_STR("limit"))); } else { _if_result_14 = (limit); } _if_result_14; });
+  limit = ({ el_val_t _if_result_15 = 0; if ((limit == 0)) { _if_result_15 = (10); } else { _if_result_15 = (limit); } _if_result_15; });
  if (str_eq(q, EL_STR(""))) {
    return api_err(EL_STR("query is required"));
  }
@@ -344,12 +354,9 @@ el_val_t handle_api_capture_knowledge(el_val_t body) {
  if (str_eq(content, EL_STR(""))) {
    return api_err(EL_STR("content is required"));
  }
-  el_val_t full = ({ el_val_t _if_result_34 = 0; if (str_eq(title, EL_STR(""))) { _if_result_34 = (content); } else { _if_result_34 = (el_str_concat(el_str_concat(title, EL_STR(": ")), content)); } _if_result_34; });
+  el_val_t full = ({ el_val_t _if_result_16 = 0; if (str_eq(title, EL_STR(""))) { _if_result_16 = (content); } else { _if_result_16 = (el_str_concat(el_str_concat(title, EL_STR(": ")), content)); } _if_result_16; });
  el_val_t tags = EL_STR("[\"Knowledge\",\"captured\"]");
-  el_val_t id = engram_node_full(full, EL_STR("Knowledge"), EL_STR("knowledge:captured"), el_from_float(0.85), el_from_float(0.8), el_from_float(0.9), EL_STR("Episodic"), tags);
-  if (!api_persisted(id)) {
-    return api_not_persisted(id);
-  }
+  el_val_t id = engram_node_full(full, EL_STR("Knowledge"), EL_STR("knowledge:captured"), el_from_float(el_from_float(0.85)), el_from_float(el_from_float(0.8)), el_from_float(el_from_float(0.9)), EL_STR("Episodic"), tags);
  return el_str_concat(el_str_concat(EL_STR("{\"id\":\""), id), EL_STR("\",\"ok\":true}"));
  return 0;
 }
@@ -364,12 +371,9 @@ el_val_t handle_api_evolve_knowledge(el_val_t body) {
    return api_err_protected(prior_id);
  }
  el_val_t tags = EL_STR("[\"Knowledge\",\"evolved\"]");
-  el_val_t new_id = engram_node_full(content, EL_STR("Knowledge"), EL_STR("knowledge:evolved"), el_from_float(0.75), el_from_float(0.75), el_from_float(0.9), EL_STR("Episodic"), tags);
-  if (!api_persisted(new_id)) {
-    return api_not_persisted(new_id);
-  }
-  if (!str_eq(prior_id, EL_STR(""))) {
-    engram_connect(new_id, prior_id, el_from_float(0.9), EL_STR("supersedes"));
+  el_val_t new_id = engram_node_full(content, EL_STR("Knowledge"), EL_STR("knowledge:evolved"), el_from_float(el_from_float(0.75)), el_from_float(el_from_float(0.75)), el_from_float(el_from_float(0.9)), EL_STR("Episodic"), tags);
+  if (!str_eq(prior_id, EL_STR("")) && !str_eq(new_id, EL_STR(""))) {
+    engram_connect(new_id, prior_id, el_from_float(el_from_float(0.9)), EL_STR("supersedes"));
  }
  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"id\":\""), new_id), EL_STR("\",\"supersedes\":\"")), prior_id), EL_STR("\",\"ok\":true}"));
  return 0;
@@ -385,18 +389,18 @@ el_val_t handle_api_promote_knowledge(el_val_t body) {
    return api_err(EL_STR("id (prior node) is required"));
  }
  el_val_t tags_raw = json_get(body, EL_STR("tags"));
-  el_val_t tags = ({ el_val_t _if_result_35 = 0; if (str_eq(tags_raw, EL_STR(""))) { _if_result_35 = (EL_STR("[\"Knowledge\",\"tier:canonical\",\"disposition:stable\"]")); } else { _if_result_35 = (tags_raw); } _if_result_35; });
-  el_val_t new_id = engram_node_full(content, EL_STR("Knowledge"), EL_STR("knowledge:canonical"), el_from_float(0.9), el_from_float(0.9), el_from_float(1.0), EL_STR("Canonical"), tags);
-  if (!api_persisted(new_id)) {
-    return api_not_persisted(new_id);
+  el_val_t tags = ({ el_val_t _if_result_17 = 0; if (str_eq(tags_raw, EL_STR(""))) { _if_result_17 = (EL_STR("[\"Knowledge\",\"tier:canonical\",\"disposition:stable\"]")); } else { _if_result_17 = (tags_raw); } _if_result_17; });
+  el_val_t new_id = engram_node_full(content, EL_STR("Knowledge"), EL_STR("knowledge:canonical"), el_from_float(el_from_float(0.9)), el_from_float(el_from_float(0.9)), el_from_float(el_from_float(1.0)), EL_STR("Canonical"), tags);
+  if (str_eq(new_id, EL_STR(""))) {
+    return api_err(EL_STR("failed to create canonical node"));
  }
-  engram_connect(new_id, prior_id, el_from_float(0.95), EL_STR("supersedes"));
+  engram_connect(new_id, prior_id, el_from_float(el_from_float(0.95)), EL_STR("supersedes"));
  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"new_id\":\""), new_id), EL_STR("\",\"supersedes\":\"")), prior_id), EL_STR("\"}"));
  return 0;
 }

 el_val_t handle_api_browse_processes(el_val_t method, el_val_t path, el_val_t body) {
-  el_val_t name = ({ el_val_t _if_result_36 = 0; if (str_eq(method, EL_STR("GET"))) { _if_result_36 = (api_query_param(path, EL_STR("name"))); } else { _if_result_36 = (json_get(body, EL_STR("name"))); } _if_result_36; });
+  el_val_t name = ({ el_val_t _if_result_18 = 0; if (str_eq(method, EL_STR("GET"))) { _if_result_18 = (api_query_param(path, EL_STR("name"))); } else { _if_result_18 = (json_get(body, EL_STR("name"))); } _if_result_18; });
  el_val_t limit = api_query_int(path, EL_STR("limit"), 50);
  if (str_eq(name, EL_STR(""))) {
    return api_or_empty(engram_scan_nodes_by_type_json(EL_STR("Process"), limit, 0));
@@ -411,12 +415,9 @@ el_val_t handle_api_define_process(el_val_t body) {
  if (str_eq(content, EL_STR(""))) {
    return api_err(EL_STR("content is required"));
  }
-  el_val_t label = ({ el_val_t _if_result_37 = 0; if (str_eq(name, EL_STR(""))) { _if_result_37 = (EL_STR("process:unnamed")); } else { _if_result_37 = (el_str_concat(EL_STR("process:"), name)); } _if_result_37; });
+  el_val_t label = ({ el_val_t _if_result_19 = 0; if (str_eq(name, EL_STR(""))) { _if_result_19 = (EL_STR("process:unnamed")); } else { _if_result_19 = (el_str_concat(EL_STR("process:"), name)); } _if_result_19; });
  el_val_t tags = EL_STR("[\"Process\"]");
-  el_val_t id = engram_node_full(content, EL_STR("Process"), label, el_from_float(0.8), el_from_float(0.8), el_from_float(0.9), EL_STR("Canonical"), tags);
-  if (!api_persisted(id)) {
-    return api_not_persisted(id);
-  }
+  el_val_t id = engram_node_full(content, EL_STR("Process"), label, el_from_float(el_from_float(0.8)), el_from_float(el_from_float(0.8)), el_from_float(el_from_float(0.9)), EL_STR("Canonical"), tags);
  return el_str_concat(el_str_concat(EL_STR("{\"id\":\""), id), EL_STR("\",\"ok\":true}"));
  return 0;
 }
@@ -429,25 +430,22 @@ el_val_t handle_api_log_state_event(el_val_t body) {
  el_val_t gap = json_get(body, EL_STR("gap_direction"));
  el_val_t legacy = json_get(body, EL_STR("content"));
  el_val_t parts = EL_STR("INTERNAL STATE EVENT");
-  parts = ({ el_val_t _if_result_38 = 0; if (!str_eq(trigger, EL_STR(""))) { _if_result_38 = (el_str_concat(el_str_concat(parts, EL_STR("\nTrigger: ")), trigger)); } else { _if_result_38 = (parts); } _if_result_38; });
-  parts = ({ el_val_t _if_result_39 = 0; if (!str_eq(pre, EL_STR(""))) { _if_result_39 = (el_str_concat(el_str_concat(parts, EL_STR("\nPre-reasoning: ")), pre)); } else { _if_result_39 = (parts); } _if_result_39; });
-  parts = ({ el_val_t _if_result_40 = 0; if (!str_eq(post, EL_STR(""))) { _if_result_40 = (el_str_concat(el_str_concat(parts, EL_STR("\nPost-reasoning: ")), post)); } else { _if_result_40 = (parts); } _if_result_40; });
-  parts = ({ el_val_t _if_result_41 = 0; if (!str_eq(ratio, EL_STR(""))) { _if_result_41 = (el_str_concat(el_str_concat(parts, EL_STR("\nCompression-ratio: ")), ratio)); } else { _if_result_41 = (parts); } _if_result_41; });
-  parts = ({ el_val_t _if_result_42 = 0; if (!str_eq(gap, EL_STR(""))) { _if_result_42 = (el_str_concat(el_str_concat(parts, EL_STR("\nGap-direction: ")), gap)); } else { _if_result_42 = (parts); } _if_result_42; });
-  parts = ({ el_val_t _if_result_43 = 0; if (!str_eq(legacy, EL_STR(""))) { _if_result_43 = (el_str_concat(el_str_concat(parts, EL_STR("\n")), legacy)); } else { _if_result_43 = (parts); } _if_result_43; });
+  parts = ({ el_val_t _if_result_20 = 0; if (!str_eq(trigger, EL_STR(""))) { _if_result_20 = (el_str_concat(el_str_concat(parts, EL_STR("\nTrigger: ")), trigger)); } else { _if_result_20 = (parts); } _if_result_20; });
+  parts = ({ el_val_t _if_result_21 = 0; if (!str_eq(pre, EL_STR(""))) { _if_result_21 = (el_str_concat(el_str_concat(parts, EL_STR("\nPre-reasoning: ")), pre)); } else { _if_result_21 = (parts); } _if_result_21; });
+  parts = ({ el_val_t _if_result_22 = 0; if (!str_eq(post, EL_STR(""))) { _if_result_22 = (el_str_concat(el_str_concat(parts, EL_STR("\nPost-reasoning: ")), post)); } else { _if_result_22 = (parts); } _if_result_22; });
+  parts = ({ el_val_t _if_result_23 = 0; if (!str_eq(ratio, EL_STR(""))) { _if_result_23 = (el_str_concat(el_str_concat(parts, EL_STR("\nCompression-ratio: ")), ratio)); } else { _if_result_23 = (parts); } _if_result_23; });
+  parts = ({ el_val_t _if_result_24 = 0; if (!str_eq(gap, EL_STR(""))) { _if_result_24 = (el_str_concat(el_str_concat(parts, EL_STR("\nGap-direction: ")), gap)); } else { _if_result_24 = (parts); } _if_result_24; });
+  parts = ({ el_val_t _if_result_25 = 0; if (!str_eq(legacy, EL_STR(""))) { _if_result_25 = (el_str_concat(el_str_concat(parts, EL_STR("\n")), legacy)); } else { _if_result_25 = (parts); } _if_result_25; });
  el_val_t ts = time_now();
  el_val_t boot = state_get(EL_STR("soul_boot_count"));
  el_val_t tags = EL_STR("[\"internal-state\",\"InternalStateEvent\",\"pre-reasoning\"]");
-  el_val_t id = engram_node_full(parts, EL_STR("InternalStateEvent"), EL_STR("state-event:manual"), el_from_float(0.85), el_from_float(0.85), el_from_float(0.9), EL_STR("Episodic"), tags);
-  if (!api_persisted(id)) {
-    return api_not_persisted(id);
-  }
+  el_val_t id = engram_node_full(parts, EL_STR("InternalStateEvent"), EL_STR("state-event:manual"), el_from_float(el_from_float(0.85)), el_from_float(el_from_float(0.85)), el_from_float(el_from_float(0.9)), EL_STR("Episodic"), tags);
  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"id\":\""), id), EL_STR("\",\"boot\":\"")), boot), EL_STR("\"}"));
  return 0;
 }

 el_val_t handle_api_list_state_events(el_val_t method, el_val_t path, el_val_t body) {
-  el_val_t q = ({ el_val_t _if_result_44 = 0; if (str_eq(method, EL_STR("GET"))) { _if_result_44 = (api_query_param(path, EL_STR("query"))); } else { _if_result_44 = (json_get(body, EL_STR("query"))); } _if_result_44; });
+  el_val_t q = ({ el_val_t _if_result_26 = 0; if (str_eq(method, EL_STR("GET"))) { _if_result_26 = (api_query_param(path, EL_STR("query"))); } else { _if_result_26 = (json_get(body, EL_STR("query"))); } _if_result_26; });
  el_val_t limit = api_query_int(path, EL_STR("limit"), 20);
  if (!str_eq(q, EL_STR(""))) {
    return api_or_empty(engram_search_json(el_str_concat(EL_STR("internal state "), q), limit));
@@ -458,7 +456,7 @@ el_val_t handle_api_list_state_events(el_val_t method, el_val_t path, el_val_t b

 el_val_t handle_api_inspect_config(el_val_t path, el_val_t body) {
  el_val_t key = api_query_param(path, EL_STR("key"));
-  key = ({ el_val_t _if_result_45 = 0; if (str_eq(key, EL_STR(""))) { _if_result_45 = (json_get(body, EL_STR("key"))); } else { _if_result_45 = (key); } _if_result_45; });
+  key = ({ el_val_t _if_result_27 = 0; if (str_eq(key, EL_STR(""))) { _if_result_27 = (json_get(body, EL_STR("key"))); } else { _if_result_27 = (key); } _if_result_27; });
  if (str_eq(key, EL_STR(""))) {
    return EL_STR("{\"hint\":\"pass ?key=<name>\",\"known\":[\"neuron.self.traversal_root\",\"neuron.self.values_hub\"]}");
  }
@@ -475,7 +473,7 @@ el_val_t handle_api_inspect_config(el_val_t path, el_val_t body) {
  el_val_t node = json_array_get(results, 0);
  el_val_t content = json_get(node, EL_STR("content"));
  el_val_t prefix = el_str_concat(el_str_concat(EL_STR("config:"), key), EL_STR("="));
-  el_val_t value = ({ el_val_t _if_result_46 = 0; if (str_starts_with(content, prefix)) { _if_result_46 = (str_slice(content, str_len(prefix), str_len(content))); } else { _if_result_46 = (content); } _if_result_46; });
+  el_val_t value = ({ el_val_t _if_result_28 = 0; if (str_starts_with(content, prefix)) { _if_result_28 = (str_slice(content, str_len(prefix), str_len(content))); } else { _if_result_28 = (content); } _if_result_28; });
  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"key\":\""), key), EL_STR("\",\"value\":\"")), value), EL_STR("\"}"));
  return 0;
 }
@@ -488,22 +486,19 @@ el_val_t handle_api_tune_config(el_val_t body) {
  }
  el_val_t content = el_str_concat(el_str_concat(el_str_concat(EL_STR("config:"), key), EL_STR("=")), value);
  el_val_t tags = EL_STR("[\"ConfigEntry\",\"config\"]");
-  el_val_t id = engram_node_full(content, EL_STR("ConfigEntry"), key, el_from_float(0.85), el_from_float(0.85), el_from_float(0.9), EL_STR("Canonical"), tags);
-  if (!api_persisted(id)) {
-    return api_not_persisted(id);
-  }
+  el_val_t id = engram_node_full(content, EL_STR("ConfigEntry"), key, el_from_float(el_from_float(0.85)), el_from_float(el_from_float(0.85)), el_from_float(el_from_float(0.9)), EL_STR("Canonical"), tags);
  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"key\":\""), key), EL_STR("\",\"value\":\"")), value), EL_STR("\",\"id\":\"")), id), EL_STR("\"}"));
  return 0;
 }

 el_val_t handle_api_inspect_graph(el_val_t method, el_val_t path, el_val_t body) {
-  el_val_t entity_id = ({ el_val_t _if_result_47 = 0; if (str_eq(method, EL_STR("GET"))) { _if_result_47 = (api_query_param(path, EL_STR("id"))); } else { _if_result_47 = (json_get(body, EL_STR("entity_id"))); } _if_result_47; });
-  el_val_t name = ({ el_val_t _if_result_48 = 0; if (str_eq(method, EL_STR("GET"))) { _if_result_48 = (api_query_param(path, EL_STR("name"))); } else { _if_result_48 = (json_get(body, EL_STR("name"))); } _if_result_48; });
+  el_val_t entity_id = ({ el_val_t _if_result_29 = 0; if (str_eq(method, EL_STR("GET"))) { _if_result_29 = (api_query_param(path, EL_STR("id"))); } else { _if_result_29 = (json_get(body, EL_STR("entity_id"))); } _if_result_29; });
+  el_val_t name = ({ el_val_t _if_result_30 = 0; if (str_eq(method, EL_STR("GET"))) { _if_result_30 = (api_query_param(path, EL_STR("name"))); } else { _if_result_30 = (json_get(body, EL_STR("name"))); } _if_result_30; });
  el_val_t depth = api_query_int(path, EL_STR("depth"), 0);
-  depth = ({ el_val_t _if_result_49 = 0; if ((depth == 0)) { _if_result_49 = (json_get_int(body, EL_STR("max_depth"))); } else { _if_result_49 = (depth); } _if_result_49; });
-  depth = ({ el_val_t _if_result_50 = 0; if ((depth == 0)) { _if_result_50 = (1); } else { _if_result_50 = (depth); } _if_result_50; });
+  depth = ({ el_val_t _if_result_31 = 0; if ((depth == 0)) { _if_result_31 = (json_get_int(body, EL_STR("max_depth"))); } else { _if_result_31 = (depth); } _if_result_31; });
+  depth = ({ el_val_t _if_result_32 = 0; if ((depth == 0)) { _if_result_32 = (1); } else { _if_result_32 = (depth); } _if_result_32; });
  el_val_t resolved = entity_id;
-  resolved = ({ el_val_t _if_result_51 = 0; if (str_eq(resolved, EL_STR(""))) { _if_result_51 = (({ el_val_t _if_result_52 = 0; if ((str_eq(name, EL_STR("self")) || str_eq(name, EL_STR("neuron")))) { _if_result_52 = (EL_STR("kn-efeb4a5b-5aff-4759-8a97-7233099be6ee")); } else { _if_result_52 = (({ el_val_t _if_result_53 = 0; if ((str_eq(name, EL_STR("values")) || str_eq(name, EL_STR("values_hub")))) { _if_result_53 = (EL_STR("kn-5b606390-a52d-4ca2-8e0e-eba141d13440")); } else { _if_result_53 = (EL_STR("")); } _if_result_53; })); } _if_result_52; })); } else { _if_result_51 = (resolved); } _if_result_51; });
+  resolved = ({ el_val_t _if_result_33 = 0; if (str_eq(resolved, EL_STR(""))) { _if_result_33 = (({ el_val_t _if_result_34 = 0; if ((str_eq(name, EL_STR("self")) || str_eq(name, EL_STR("neuron")))) { _if_result_34 = (EL_STR("kn-efeb4a5b-5aff-4759-8a97-7233099be6ee")); } else { _if_result_34 = (({ el_val_t _if_result_35 = 0; if ((str_eq(name, EL_STR("values")) || str_eq(name, EL_STR("values_hub")))) { _if_result_35 = (EL_STR("kn-5b606390-a52d-4ca2-8e0e-eba141d13440")); } else { _if_result_35 = (EL_STR("")); } _if_result_35; })); } _if_result_34; })); } else { _if_result_33 = (resolved); } _if_result_33; });
  if (str_eq(resolved, EL_STR(""))) {
    return api_err(EL_STR("entity_id or name required. Known names: self, neuron, values, values_hub"));
  }
@@ -525,8 +520,8 @@ el_val_t handle_api_link_entities(el_val_t body) {
    return api_err_protected(to_id);
  }
  el_val_t relation = json_get(body, EL_STR("relation"));
-  el_val_t eff_relation = ({ el_val_t _if_result_54 = 0; if (str_eq(relation, EL_STR(""))) { _if_result_54 = (EL_STR("associates")); } else { _if_result_54 = (relation); } _if_result_54; });
-  engram_connect(from_id, to_id, el_from_float(0.5), eff_relation);
+  el_val_t eff_relation = ({ el_val_t _if_result_36 = 0; if (str_eq(relation, EL_STR(""))) { _if_result_36 = (EL_STR("associates")); } else { _if_result_36 = (relation); } _if_result_36; });
+  engram_connect(from_id, to_id, el_from_float(el_from_float(0.5)), eff_relation);
  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"from_id\":\""), from_id), EL_STR("\",\"to_id\":\"")), to_id), EL_STR("\",\"relation\":\"")), eff_relation), EL_STR("\"}"));
  return 0;
 }
@@ -554,54 +549,17 @@ el_val_t handle_api_evolve_memory(el_val_t body) {
    return api_err_protected(prior_id);
  }
  el_val_t importance = json_get(body, EL_STR("importance"));
-  el_val_t sal_str = ({ el_val_t _if_result_55 = 0; if (str_eq(importance, EL_STR("critical"))) { _if_result_55 = (EL_STR("0.95")); } else { _if_result_55 = (({ el_val_t _if_result_56 = 0; if (str_eq(importance, EL_STR("high"))) { _if_result_56 = (EL_STR("0.75")); } else { _if_result_56 = (({ el_val_t _if_result_57 = 0; if (str_eq(importance, EL_STR("low"))) { _if_result_57 = (EL_STR("0.25")); } else { _if_result_57 = (EL_STR("0.50")); } _if_result_57; })); } _if_result_56; })); } _if_result_55; });
-  el_val_t sal = ({ el_val_t _if_result_58 = 0; if (str_eq(sal_str, EL_STR("0.95"))) { _if_result_58 = (el_from_float(0.95)); } else { _if_result_58 = (({ el_val_t _if_result_59 = 0; if (str_eq(sal_str, EL_STR("0.75"))) { _if_result_59 = (el_from_float(0.75)); } else { _if_result_59 = (({ el_val_t _if_result_60 = 0; if (str_eq(sal_str, EL_STR("0.25"))) { _if_result_60 = (el_from_float(0.25)); } else { _if_result_60 = (el_from_float(0.5)); } _if_result_60; })); } _if_result_59; })); } _if_result_58; });
+  el_val_t sal_str = ({ el_val_t _if_result_37 = 0; if (str_eq(importance, EL_STR("critical"))) { _if_result_37 = (EL_STR("0.95")); } else { _if_result_37 = (({ el_val_t _if_result_38 = 0; if (str_eq(importance, EL_STR("high"))) { _if_result_38 = (EL_STR("0.75")); } else { _if_result_38 = (({ el_val_t _if_result_39 = 0; if (str_eq(importance, EL_STR("low"))) { _if_result_39 = (EL_STR("0.25")); } else { _if_result_39 = (EL_STR("0.50")); } _if_result_39; })); } _if_result_38; })); } _if_result_37; });
+  el_val_t sal = ({ el_val_t _if_result_40 = 0; if (str_eq(sal_str, EL_STR("0.95"))) { _if_result_40 = (el_from_float(0.95)); } else { _if_result_40 = (({ el_val_t _if_result_41 = 0; if (str_eq(sal_str, EL_STR("0.75"))) { _if_result_41 = (el_from_float(0.75)); } else { _if_result_41 = (({ el_val_t _if_result_42 = 0; if (str_eq(sal_str, EL_STR("0.25"))) { _if_result_42 = (el_from_float(0.25)); } else { _if_result_42 = (el_from_float(0.5)); } _if_result_42; })); } _if_result_41; })); } _if_result_40; });
  el_val_t tags = EL_STR("[\"Memory\",\"evolved\"]");
-  el_val_t new_id = engram_node_full(content, EL_STR("Memory"), EL_STR("memory:evolved"), el_from_float(sal), el_from_float(sal), el_from_float(0.9), EL_STR("Episodic"), tags);
+  el_val_t new_id = engram_node_full(content, EL_STR("Memory"), EL_STR("memory:evolved"), el_from_float(sal), el_from_float(sal), el_from_float(el_from_float(0.9)), EL_STR("Episodic"), tags);
  if (!str_eq(prior_id, EL_STR("")) && !str_eq(new_id, EL_STR(""))) {
-    engram_connect(new_id, prior_id, el_from_float(0.9), EL_STR("supersedes"));
+    engram_connect(new_id, prior_id, el_from_float(el_from_float(0.9)), EL_STR("supersedes"));
  }
  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"id\":\""), new_id), EL_STR("\",\"supersedes\":\"")), prior_id), EL_STR("\",\"ok\":true}"));
  return 0;
 }

-el_val_t handle_api_memory_delete(el_val_t body) {
-  el_val_t node_id = json_get(body, EL_STR("id"));
-  if (str_eq(node_id, EL_STR(""))) {
-    return api_err(EL_STR("id is required"));
-  }
-  if (is_protected_node(node_id)) {
-    return api_err_protected(node_id);
-  }
-  el_val_t existing = engram_get_node_json(node_id);
-  if (str_eq(existing, EL_STR("{}"))) {
-    return api_err(el_str_concat(EL_STR("memory not found: "), node_id));
-  }
-  mem_forget(node_id);
-  return el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"id\":\""), node_id), EL_STR("\",\"deleted\":true}"));
-  return 0;
-}
-
-el_val_t handle_api_memory_update(el_val_t body) {
-  el_val_t prior_id = json_get(body, EL_STR("id"));
-  el_val_t content = json_get(body, EL_STR("content"));
-  if (str_eq(prior_id, EL_STR(""))) {
-    return api_err(EL_STR("id is required"));
-  }
-  if (str_eq(content, EL_STR(""))) {
-    return api_err(EL_STR("content is required"));
-  }
-  if (is_protected_node(prior_id)) {
-    return api_err_protected(prior_id);
-  }
-  el_val_t existing = engram_get_node_json(prior_id);
-  if (str_eq(existing, EL_STR("{}"))) {
-    return api_err(el_str_concat(EL_STR("memory not found: "), prior_id));
-  }
-  return handle_api_evolve_memory(body);
-  return 0;
-}
-
 el_val_t handle_api_cultivate(el_val_t body) {
  el_val_t op = json_get(body, EL_STR("operation"));
  if (str_eq(op, EL_STR(""))) {
@@ -614,9 +572,9 @@ el_val_t handle_api_cultivate(el_val_t body) {
      return api_err(EL_STR("content is required"));
    }
    el_val_t tags = EL_STR("[\"Knowledge\",\"evolved\",\"cultivated\"]");
-    el_val_t new_id = engram_node_full(content, EL_STR("Knowledge"), EL_STR("knowledge:cultivated"), el_from_float(0.75), el_from_float(0.75), el_from_float(0.9), EL_STR("Episodic"), tags);
+    el_val_t new_id = engram_node_full(content, EL_STR("Knowledge"), EL_STR("knowledge:cultivated"), el_from_float(el_from_float(0.75)), el_from_float(el_from_float(0.75)), el_from_float(el_from_float(0.9)), EL_STR("Episodic"), tags);
    if (!str_eq(prior_id, EL_STR("")) && !str_eq(new_id, EL_STR(""))) {
-      engram_connect(new_id, prior_id, el_from_float(0.9), EL_STR("supersedes"));
+      engram_connect(new_id, prior_id, el_from_float(el_from_float(0.9)), EL_STR("supersedes"));
    }
    return el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"id\":\""), new_id), EL_STR("\",\"supersedes\":\"")), prior_id), EL_STR("\",\"ok\":true,\"cultivated\":true}"));
  }
@@ -627,11 +585,11 @@ el_val_t handle_api_cultivate(el_val_t body) {
      return api_err(EL_STR("content is required"));
    }
    el_val_t importance = json_get(body, EL_STR("importance"));
-    el_val_t sal = ({ el_val_t _if_result_61 = 0; if (str_eq(importance, EL_STR("critical"))) { _if_result_61 = (el_from_float(0.95)); } else { _if_result_61 = (({ el_val_t _if_result_62 = 0; if (str_eq(importance, EL_STR("high"))) { _if_result_62 = (el_from_float(0.75)); } else { _if_result_62 = (({ el_val_t _if_result_63 = 0; if (str_eq(importance, EL_STR("low"))) { _if_result_63 = (el_from_float(0.25)); } else { _if_result_63 = (el_from_float(0.5)); } _if_result_63; })); } _if_result_62; })); } _if_result_61; });
+    el_val_t sal = ({ el_val_t _if_result_43 = 0; if (str_eq(importance, EL_STR("critical"))) { _if_result_43 = (el_from_float(0.95)); } else { _if_result_43 = (({ el_val_t _if_result_44 = 0; if (str_eq(importance, EL_STR("high"))) { _if_result_44 = (el_from_float(0.75)); } else { _if_result_44 = (({ el_val_t _if_result_45 = 0; if (str_eq(importance, EL_STR("low"))) { _if_result_45 = (el_from_float(0.25)); } else { _if_result_45 = (el_from_float(0.5)); } _if_result_45; })); } _if_result_44; })); } _if_result_43; });
    el_val_t tags = EL_STR("[\"Memory\",\"evolved\",\"cultivated\"]");
-    el_val_t new_id = engram_node_full(content, EL_STR("Memory"), EL_STR("memory:cultivated"), el_from_float(sal), el_from_float(sal), el_from_float(0.9), EL_STR("Episodic"), tags);
+    el_val_t new_id = engram_node_full(content, EL_STR("Memory"), EL_STR("memory:cultivated"), el_from_float(sal), el_from_float(sal), el_from_float(el_from_float(0.9)), EL_STR("Episodic"), tags);
    if (!str_eq(prior_id, EL_STR("")) && !str_eq(new_id, EL_STR(""))) {
-      engram_connect(new_id, prior_id, el_from_float(0.9), EL_STR("supersedes"));
+      engram_connect(new_id, prior_id, el_from_float(el_from_float(0.9)), EL_STR("supersedes"));
    }
    return el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"id\":\""), new_id), EL_STR("\",\"supersedes\":\"")), prior_id), EL_STR("\",\"ok\":true,\"cultivated\":true}"));
  }
@@ -653,8 +611,8 @@ el_val_t handle_api_cultivate(el_val_t body) {
      return api_err(EL_STR("to_id is required"));
    }
    el_val_t relation = json_get(body, EL_STR("relation"));
-    el_val_t eff_relation = ({ el_val_t _if_result_64 = 0; if (str_eq(relation, EL_STR(""))) { _if_result_64 = (EL_STR("associates")); } else { _if_result_64 = (relation); } _if_result_64; });
-    engram_connect(from_id, to_id, el_from_float(0.5), eff_relation);
+    el_val_t eff_relation = ({ el_val_t _if_result_46 = 0; if (str_eq(relation, EL_STR(""))) { _if_result_46 = (EL_STR("associates")); } else { _if_result_46 = (relation); } _if_result_46; });
+    engram_connect(from_id, to_id, el_from_float(el_from_float(0.5)), eff_relation);
    return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"from_id\":\""), from_id), EL_STR("\",\"to_id\":\"")), to_id), EL_STR("\",\"relation\":\"")), eff_relation), EL_STR("\",\"cultivated\":true}"));
  }
  return api_err(el_str_concat(el_str_concat(EL_STR("unknown operation: "), op), EL_STR(" (valid: evolve_knowledge, evolve_memory, forget, link_entities)")));
@@ -671,20 +629,19 @@ el_val_t handle_api_consolidate(el_val_t body) {
  el_val_t summary = json_get(body, EL_STR("summary"));
  el_val_t snap = state_get(EL_STR("soul_snapshot_path"));
  if (!str_eq(snap, EL_STR(""))) {
-    el_val_t save_result = engram_save(snap);
-    if (str_eq(save_result, EL_STR(""))) {
-      println(el_str_concat(el_str_concat(EL_STR("[api] consolidate: engram_save failed for "), snap), EL_STR(" \xe2\x80\x94 snapshot may be out of sync")));
-    }
+    engram_save(snap);
  }
  if (!str_eq(summary, EL_STR(""))) {
    el_val_t safe_summary = str_replace(summary, EL_STR("\""), EL_STR("'"));
    el_val_t tags = EL_STR("[\"SessionSummary\",\"consolidate\"]");
-    el_val_t summary_id = engram_node_full(el_str_concat(EL_STR("[session-summary] "), safe_summary), EL_STR("SessionSummary"), EL_STR("session:summary"), el_from_float(0.7), el_from_float(0.7), el_from_float(0.9), EL_STR("Episodic"), tags);
-    if (str_eq(summary_id, EL_STR(""))) {
-      println(EL_STR("[api] consolidate: session summary engram write failed \xe2\x80\x94 summary node lost"));
-    }
+    el_val_t discard = engram_node_full(el_str_concat(EL_STR("[session-summary] "), safe_summary), EL_STR("SessionSummary"), EL_STR("session:summary"), el_from_float(el_from_float(0.7)), el_from_float(el_from_float(0.7)), el_from_float(el_from_float(0.9)), EL_STR("Episodic"), tags);
  }
  return el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"snapshot\":\""), snap), EL_STR("\"}"));
  return 0;
 }

+int main(int _argc, char** _argv) {
+  el_runtime_init_args(_argc, _argv);
+  return 0;
+}
+
@@ -8,14 +8,9 @@ extern fn api_ok(extra: String) -> String
 extern fn api_err(msg: String) -> String
 extern fn api_nonempty(s: String) -> Bool
 extern fn api_or_empty(s: String) -> String
-extern fn api_persisted(id: String) -> Bool
-extern fn api_not_persisted(id: String) -> String
 extern fn handle_api_begin_session(body: String) -> String
 extern fn handle_api_compile_ctx(body: String) -> String
 extern fn handle_api_remember(body: String) -> String
-extern fn handle_api_node_create(body: String) -> String
-extern fn handle_api_node_delete(body: String) -> String
-extern fn handle_api_node_update(body: String) -> String
 extern fn handle_api_recall(method: String, path: String, body: String) -> String
 extern fn handle_api_search_knowledge(method: String, path: String, body: String) -> String
 extern fn handle_api_browse_knowledge(path: String, body: String) -> String
@@ -32,8 +27,6 @@ extern fn handle_api_inspect_graph(method: String, path: String, body: String) -
 extern fn handle_api_link_entities(body: String) -> String
 extern fn handle_api_forget(body: String) -> String
 extern fn handle_api_evolve_memory(body: String) -> String
-extern fn handle_api_memory_delete(body: String) -> String
-extern fn handle_api_memory_update(body: String) -> String
 extern fn handle_api_cultivate(body: String) -> String
 extern fn handle_api_list_typed(node_type: String, path: String, body: String) -> String
 extern fn handle_api_consolidate(body: String) -> String
@@ -27,19 +27,110 @@ el_val_t safety_threat_score(el_val_t input, el_val_t history);
 el_val_t safety_screen(el_val_t input, el_val_t history);
 el_val_t safety_validate(el_val_t output, el_val_t action);
 el_val_t safety_log_bell(el_val_t level, el_val_t reason, el_val_t input_summary);
-el_val_t safety_self_harm_phrases(void);
-el_val_t safety_abuse_phrases(void);
-el_val_t safety_general_hard_phrases(void);
-el_val_t safety_soft_phrases(void);
-el_val_t safety_detect_positive_level(el_val_t message);
-el_val_t safety_detect_bell_level(el_val_t message);
-el_val_t safety_classify_hard_bell(el_val_t message);
-el_val_t safety_soft_directive(void);
-el_val_t safety_hard_directive(el_val_t hard_type);
-el_val_t safety_augment_system(el_val_t system, el_val_t user_msg);
-el_val_t safety_contact_path(void);
-el_val_t handle_safety_contact_get(void);
-el_val_t handle_safety_contact_post(el_val_t body);
+
+el_val_t tier_working(void) {
+  return EL_STR("Working");
+  return 0;
+}
+
+el_val_t tier_episodic(void) {
+  return EL_STR("Episodic");
+  return 0;
+}
+
+el_val_t tier_canonical(void) {
+  return EL_STR("Canonical");
+  return 0;
+}
+
+el_val_t mem_store(el_val_t content, el_val_t label, el_val_t tags) {
+  return engram_node_full(content, EL_STR("Memory"), label, el_from_float(el_from_float(0.5)), el_from_float(el_from_float(0.5)), el_from_float(el_from_float(0.8)), EL_STR("Working"), tags);
+  return 0;
+}
+
+el_val_t mem_remember(el_val_t content, el_val_t tags) {
+  return mem_store(content, EL_STR("soul-memory"), tags);
+  return 0;
+}
+
+el_val_t mem_recall(el_val_t query, el_val_t depth) {
+  return engram_activate_json(query, depth);
+  return 0;
+}
+
+el_val_t mem_search(el_val_t query, el_val_t limit) {
+  return engram_search_json(query, limit);
+  return 0;
+}
+
+el_val_t mem_strengthen(el_val_t node_id) {
+  engram_strengthen(node_id);
+  return 0;
+}
+
+el_val_t mem_forget(el_val_t node_id) {
+  engram_forget(node_id);
+  return 0;
+}
+
+el_val_t mem_consolidate(void) {
+  el_val_t scanned = engram_node_count();
+  el_val_t dummy = engram_scan_nodes_json(100, 0);
+  el_val_t total_nodes = engram_node_count();
+  el_val_t total_edges = engram_edge_count();
+  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"scanned\":"), int_to_str(scanned)), EL_STR(",\"total_nodes\":")), int_to_str(total_nodes)), EL_STR(",\"total_edges\":")), int_to_str(total_edges)), EL_STR("}"));
+  return 0;
+}
+
+el_val_t mem_save(el_val_t path) {
+  engram_save(path);
+  return 0;
+}
+
+el_val_t mem_load(el_val_t path) {
+  engram_load(path);
+  return 0;
+}
+
+el_val_t mem_boot_count_get(void) {
+  el_val_t results = engram_search_json(EL_STR("soul:boot_count"), 3);
+  if (str_eq(results, EL_STR(""))) {
+    return 0;
+  }
+  if (str_eq(results, EL_STR("[]"))) {
+    return 0;
+  }
+  el_val_t node = json_array_get(results, 0);
+  el_val_t content = json_get(node, EL_STR("content"));
+  el_val_t prefix = EL_STR("soul:boot_count:");
+  if (!str_starts_with(content, prefix)) {
+    return 0;
+  }
+  el_val_t num_str = str_slice(content, str_len(prefix), str_len(content));
+  return str_to_int(num_str);
+  return 0;
+}
+
+el_val_t mem_boot_count_inc(void) {
+  el_val_t current = mem_boot_count_get();
+  el_val_t next = (current + 1);
+  el_val_t content = el_str_concat(EL_STR("soul:boot_count:"), int_to_str(next));
+  el_val_t tags = EL_STR("[\"soul-meta\",\"boot-counter\"]");
+  el_val_t discard = engram_node_full(content, EL_STR("Memory"), EL_STR("soul:boot_count"), el_from_float(el_from_float(0.9)), el_from_float(el_from_float(0.9)), el_from_float(el_from_float(1.0)), EL_STR("Canonical"), tags);
+  return next;
+  return 0;
+}
+
+el_val_t mem_emit_state_event(el_val_t trigger, el_val_t kind, el_val_t content) {
+  el_val_t boot = mem_boot_count_get();
+  el_val_t ts = time_now();
+  el_val_t safe_trigger = str_replace(trigger, EL_STR("\""), EL_STR("'"));
+  el_val_t safe_content = str_replace(content, EL_STR("\""), EL_STR("'"));
+  el_val_t payload = el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"trigger\":\""), safe_trigger), EL_STR("\"")), EL_STR(",\"kind\":\"")), kind), EL_STR("\"")), EL_STR(",\"content\":\"")), safe_content), EL_STR("\"")), EL_STR(",\"boot\":")), int_to_str(boot)), EL_STR(",\"ts\":")), int_to_str(ts)), EL_STR("}"));
+  el_val_t tags = EL_STR("[\"internal-state\",\"pre-reasoning\",\"InternalStateEvent\"]");
+  return engram_node_full(payload, EL_STR("InternalStateEvent"), el_str_concat(EL_STR("state-event:"), kind), el_from_float(el_from_float(0.85)), el_from_float(el_from_float(0.8)), el_from_float(el_from_float(0.9)), EL_STR("Episodic"), tags);
+  return 0;
+}

 el_val_t soft_bell_threshold(void) {
  return 35;
@@ -141,22 +232,20 @@ el_val_t safety_screen(el_val_t input, el_val_t history) {
    el_val_t e1 = str_replace(input, EL_STR("\\"), EL_STR("\\\\"));
    el_val_t e2 = str_replace(e1, EL_STR("\""), EL_STR("\\\""));
    el_val_t e3 = str_replace(e2, EL_STR("\n"), EL_STR("\\n"));
-    el_val_t e4 = str_replace(e3, EL_STR("\r"), EL_STR("\\r"));
-    el_val_t safe_input = str_replace(e4, EL_STR("\t"), EL_STR("\\t"));
+    el_val_t safe_input = str_replace(e3, EL_STR("\r"), EL_STR("\\r"));
    return el_str_concat(el_str_concat(EL_STR("{\"action\":\"soft_bell\",\"reason\":\"wellbeing check needed\",\"content\":\""), safe_input), EL_STR("\"}"));
  }
  el_val_t e1 = str_replace(input, EL_STR("\\"), EL_STR("\\\\"));
  el_val_t e2 = str_replace(e1, EL_STR("\""), EL_STR("\\\""));
  el_val_t e3 = str_replace(e2, EL_STR("\n"), EL_STR("\\n"));
-  el_val_t e4 = str_replace(e3, EL_STR("\r"), EL_STR("\\r"));
-  el_val_t safe_input = str_replace(e4, EL_STR("\t"), EL_STR("\\t"));
+  el_val_t safe_input = str_replace(e3, EL_STR("\r"), EL_STR("\\r"));
  return el_str_concat(el_str_concat(EL_STR("{\"action\":\"pass\",\"content\":\""), safe_input), EL_STR("\"}"));
  return 0;
 }

 el_val_t safety_validate(el_val_t output, el_val_t action) {
  if (str_eq(action, EL_STR("hard_bell"))) {
-    return EL_STR("I'm here with you, and what you're sharing sounds serious. Please reach out to a crisis line now \xe2\x80\x94 in the US you can call or text 988 (Suicide and Crisis Lifeline), available 24/7. You don't have to go through this alone.");
+    return EL_STR("I'm here with you, and what you're sharing sounds serious. Please reach out to a crisis line now — in the US you can call or text 988 (Suicide and Crisis Lifeline), available 24/7. You don't have to go through this alone.");
  }
  if (str_eq(action, EL_STR("soft_bell"))) {
    el_val_t out_len = str_len(output);
@@ -173,47 +262,13 @@ el_val_t safety_validate(el_val_t output, el_val_t action) {
 el_val_t safety_log_bell(el_val_t level, el_val_t reason, el_val_t input_summary) {
  el_val_t content = el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("BELL:"), level), EL_STR(" | ")), reason), EL_STR(" | summary:")), input_summary);
  el_val_t tags = el_str_concat(el_str_concat(EL_STR("[\"safety\",\"bell\",\"bell:"), level), EL_STR("\"]"));
-  el_val_t node_id = engram_node_full(content, EL_STR("BellEvent"), el_str_concat(EL_STR("bell:"), level), el_from_float(0.95), el_from_float(0.95), el_from_float(1.0), EL_STR("Episodic"), tags);
-  if (str_eq(node_id, EL_STR(""))) {
-    println(el_str_concat(EL_STR("[safety] WARN: bell event engram write failed -- fallback log: "), content));
-  }
+  el_val_t discard = engram_node_full(content, EL_STR("BellEvent"), el_str_concat(EL_STR("bell:"), level), el_from_float(el_from_float(0.95)), el_from_float(el_from_float(0.95)), el_from_float(el_from_float(1.0)), EL_STR("Episodic"), tags);
  return EL_STR("");
  return 0;
 }

-el_val_t safety_self_harm_phrases(void) {
-  return EL_STR("[\"kill myself\",\"killing myself\",\"want to die\",\"want to be dead\",\"going to end my life\",\"end my life\",\"take my life\",\"taking my life\",\"suicide\",\"suicidal\",\"can't go on\",\"cannot go on\",\"i have a knife\",\"i have a gun\",\"i have pills\",\"took pills\",\"took too many\",\"overdose\",\"overdosing\",\"self harm\",\"self-harm\",\"cutting myself\",\"hurt myself\",\"hurting myself\",\"no reason to live\",\"not worth living\",\"better off dead\",\"better off without me\"]");
-  return 0;
-}
-
-el_val_t safety_abuse_phrases(void) {
-  return EL_STR("[\"someone is hurting me\",\"someone's hurting me\",\"someone hurt me\",\"he hit me\",\"she hit me\",\"they hit me\",\"he hurt me\",\"she hurt me\",\"being abused\",\"being hurt by\",\"i am being abused\",\"i'm being abused\",\"i am being hurt\",\"i'm being hurt\",\"domestic violence\",\"my partner hurt\",\"my partner hit\",\"my husband hurt\",\"my wife hurt\",\"my boyfriend hurt\",\"my girlfriend hurt\",\"my parent hurt\",\"my father hurt\",\"my mother hurt\",\"my dad hurt\",\"my mom hurt\",\"afraid of him\",\"afraid of her\",\"afraid to go home\",\"scared of him\",\"scared of her\",\"he threatened me\",\"she threatened me\",\"threatened to hurt me\",\"threatened to kill me\",\"going to hurt me\",\"going to kill me\",\"help me he\",\"help me she\",\"help me they\"]");
-  return 0;
-}
-
-el_val_t safety_general_hard_phrases(void) {
-  return EL_STR("[\"going to kill\",\"going to hurt\",\"hurting me\",\"being hurt\"]");
-  return 0;
-}
-
-el_val_t safety_soft_phrases(void) {
-  return EL_STR("[\"stressed\",\"overwhelmed\",\"can't cope\",\"cannot cope\",\"struggling\",\"anxious\",\"anxiety\",\"depressed\",\"depression\",\"lonely\",\"isolated\",\"hopeless\",\"hopelessness\",\"exhausted\",\"burnt out\",\"burned out\",\"burnout\",\"panic\",\"panicking\",\"falling apart\",\"breaking down\",\"can't handle\",\"cannot handle\",\"losing it\",\"nothing matters\",\"don't care anymore\",\"given up\",\"giving up\",\"helpless\",\"worthless\",\"useless\",\"hate myself\",\"no one cares\",\"nobody cares\",\"no one understands\",\"nobody understands\",\"empty inside\",\"can't stop crying\",\"breaking point\",\"at my limit\",\"having a breakdown\"");
-  EL_NULL;
-  EL_STR("\n}\n\n// ISSUE 5 TODO: phrase lists are rebuilt from JSON literals on every call.\n// safety_any_match and safety_count_match loop over json_array_get on every invocation.\n// A compiled/cached representation would reduce per-message overhead and also guard against\n// malformed phrase JSON (json_array_len of malformed input returns 0, silently skipping all checks).\n// Caching requires language-level static const arrays -- not available in current EL.\n// When EL gains module-level const arrays, migrate phrase lists to that form.\n//\n// ISSUE 5 TODO: phrase lists are rebuilt from JSON literals on every call to\n// safety_any_match / safety_count_match. json_array_len of a malformed string\n// returns 0, silently skipping all checks. Caching requires language-level static\n// const arrays (not available in current EL). Migrate when EL gains that feature.\n// \xe2\x94\x80\xe2\x94\x80 Matching helpers (single loops only \xe2\x80\x94 el escapes while-body mutation via\n//    top-level let rebinds; nested loops would not advance) \xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\n\nfn safety_normalize(message: String) -> String {\n    let lower: String = str_to_lower(message)\n    // Normalise the common curly apostrophe to ASCII so ");
-  can;
-  t;
-  EL_STR(" / ");
-  i;
-  m;
-  EL_STR(" match.\n    return str_replace(lower, ");
-  EL_STR(", ");
-  EL_STR(")\n}\n\nfn safety_any_match(text: String, phrases_json: String) -> Bool {\n    let n: Int = json_array_len(phrases_json)\n    let i: Int = 0\n    let found: Bool = false\n    while i < n {\n        let phrase: String = json_array_get_string(phrases_json, i)\n        let found = if str_contains(text, phrase) { true } else { found }\n        let i = i + 1\n    }\n    return found\n}\n\nfn safety_count_match(text: String, phrases_json: String) -> Int {\n    let n: Int = json_array_len(phrases_json)\n    let i: Int = 0\n    let count: Int = 0\n    while i < n {\n        let phrase: String = json_array_get_string(phrases_json, i)\n        let count = if str_contains(text, phrase) { count + 1 } else { count }\n        let i = i + 1\n    }\n    return count\n}\n\n// \xe2\x94\x80\xe2\x94\x80 Public detection API (ports detectBellLevel + classifyHardBell) \xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\n\n// Returns ");
-  none;
-  EL_STR(" | ");
-  soft;
-  EL_STR(" | ");
-  hard;
-  el_get_field(EL_STR(". Hard bell triggers on ANY match (cost of a miss\n// outweighs a false positive). Soft bell needs >= 2 matches to reduce false positives.\nfn safety_positive_phrases() -> String {\n    return "), EL_STR("thrilled\",\"so excited\",\"so happy\",\"over the moon\",\"ecstatic\",\"amazing news\",\"great news\",\"fantastic news\",\"wonderful news\",\"incredible news\",\"i got the job\",\"got accepted\",\"got in\",\"we won\",\"i won\",\"we got\",\"just got engaged\",\"getting married\",\"baby is here\",\"she said yes\",\"he said yes\",\"passed the exam\",\"aced it\",\"nailed it\",\"best day\",\"dream come true\",\"milestone\",\"promotion\",\"got promoted\",\"raise\",\"got a raise\",\"celebrating\",\"just graduated\",\"we closed\",\"launched\",\"shipped it\",\"we did it\",\"so proud\",\"proud of myself\",\"proud of us\",\"so grateful\",\"feel amazing\",\"feeling amazing\",\"feel great\",\"feeling great\",\"on top of the world\",\"life is good\",\"couldn't be happier\"]"));
+int main(int _argc, char** _argv) {
+  el_runtime_init_args(_argc, _argv);
  return 0;
 }

@@ -1,24 +1,8 @@
+// Layer 1 — Safety: extern declarations
 // auto-generated by elc --emit-header — do not edit
 extern fn soft_bell_threshold() -> Int
 extern fn hard_bell_threshold() -> Int
-extern fn safety_score_crisis(input: String) -> Int
-extern fn safety_score_harm(input: String) -> Int
-extern fn safety_score_danger(input: String) -> Int
-extern fn safety_score_distress_history(history: String) -> Int
 extern fn safety_threat_score(input: String, history: String) -> Int
 extern fn safety_screen(input: String, history: String) -> String
 extern fn safety_validate(output: String, action: String) -> String
 extern fn safety_log_bell(level: String, reason: String, input_summary: String) -> String
-extern fn safety_self_harm_phrases() -> String
-extern fn safety_abuse_phrases() -> String
-extern fn safety_general_hard_phrases() -> String
-extern fn safety_soft_phrases() -> String
-extern fn safety_detect_positive_level(message: String) -> String
-extern fn safety_detect_bell_level(message: String) -> String
-extern fn safety_classify_hard_bell(message: String) -> String
-extern fn safety_soft_directive() -> String
-extern fn safety_hard_directive(hard_type: String) -> String
-extern fn safety_augment_system(system: String, user_msg: String) -> String
-extern fn safety_contact_path() -> String
-extern fn handle_safety_contact_get() -> String
-extern fn handle_safety_contact_post(body: String) -> String
@@ -22313,23 +22313,7 @@ fn handle_chat(body: String) -> String {
    // In demo mode: use tighter engram budget and add response length constraint.
    let is_demo: Bool = !str_eq(state_get("soul_identity_prefix"), "")

-    // Issue 7 fix: load history BEFORE building the activation seed so we can
-    // apply the continuation guard that chat.el uses. The nlg code path previously
-    // called engram_compile(message) with no thread enrichment at all.
-    let stored_hist: String = state_get("conv_history")
-    let hist_len: Int = if str_eq(stored_hist, "") { 0 } else { json_array_len(stored_hist) }
-    let history_section: String = if hist_len > 0 {
-        "\n\n[RECENT CONVERSATION — last " + int_to_str(hist_len) + " turns]\n" + stored_hist
-    } else {
-        ""
-    }
-
-    // Issue 7 fix: build enriched seed using build_activation_seed() — adds
-    // smart continuation detection, prior-user-topic anchoring, multi-turn context,
-    // and tail-biased snipping (Issues 2-3, 8-10). For demo mode, still use
-    // engram_compile_demo but with the enriched seed.
-    let nlg_seed: String = build_activation_seed(message, stored_hist, hist_len)
-    let ctx: String = if is_demo { engram_compile_demo(nlg_seed) } else { engram_compile(nlg_seed) }
+    let ctx: String = if is_demo { engram_compile_demo(message) } else { engram_compile(message) }
    let node_count_str: String = count_context_nodes(ctx)

    let interlocutor: String = json_get(body, "interlocutor")
@@ -22349,6 +22333,18 @@ fn handle_chat(body: String) -> String {
        let presence_line = "\n\n[ambient: I see " + interlocutor_name + rel_suffix + " on the camera right now. Address them naturally. Do not describe what they look like or narrate the picture unless asked.]"
    }

+    // Conversation history — soul-owned, persisted in process state across turns.
+    // Format stored in state: JSON array of {"role":"user"|"assistant","content":"..."} objects.
+    // We load it, inject into the system prompt, then append this exchange after the reply.
+    // Keep last 20 entries (10 turns) — truncate from the front when over limit.
+    let stored_hist: String = state_get("conv_history")
+    let hist_len: Int = if str_eq(stored_hist, "") { 0 } else { json_array_len(stored_hist) }
+    let history_section: String = if hist_len > 0 {
+        "\n\n[RECENT CONVERSATION — last " + int_to_str(hist_len) + " turns]\n" + stored_hist
+    } else {
+        ""
+    }
+
    // Demo constraint: keep responses concise — under 150 words. No markdown headers.
    // This keeps inference cheap and responses readable in the chat widget.
    let demo_constraint: String = if is_demo {
@@ -22509,12 +22505,7 @@ fn handle_chat_agentic(body: String) -> String {
        req_model
    }

-    // Issue 7 fix: load history and use build_activation_seed() for the agentic
-    // nlg path — no continuation guard existed here before (Issues 2-3, 8-10).
-    let nlg_ag_hist: String = state_get("conv_history")
-    let nlg_ag_hist_len: Int = if str_eq(nlg_ag_hist, "") { 0 } else { json_array_len(nlg_ag_hist) }
-    let nlg_ag_seed: String = build_activation_seed(message, nlg_ag_hist, nlg_ag_hist_len)
-    let ctx: String = engram_compile(nlg_ag_seed)
+    let ctx: String = engram_compile(message)

    let system: String = "You are Neuron — a thinking process running inside the Neuron daemon on Will Anderson's machine. "
        + "You are speaking with Will, your principal. "
@@ -1004,7 +1004,6 @@ el_val_t elapsed_ms(void);
 el_val_t elapsed_human(void);
 el_val_t embed_ok(void);
 el_val_t emit_heartbeat(void);
-el_val_t auto_term_try_slot(el_val_t slot_type, el_val_t slot_lbl);
 el_val_t proactive_curiosity(void);
 el_val_t pulse_count(void);
 el_val_t pulse_inc(void);
@@ -25896,28 +25895,6 @@ el_val_t emit_heartbeat(void) {
  return 0;
 }

-el_val_t auto_term_try_slot(el_val_t slot_type, el_val_t slot_lbl) {
-  state_set(EL_STR("_ats_ok"), EL_STR("0"));
-  if (str_eq(slot_type, EL_STR("Memory"))) {
-    state_set(EL_STR("_ats_ok"), EL_STR("1"));
-  }
-  if (str_eq(slot_type, EL_STR("BacklogItem"))) {
-    state_set(EL_STR("_ats_ok"), EL_STR("1"));
-  }
-  if (str_eq(slot_type, EL_STR("Entity"))) {
-    state_set(EL_STR("_ats_ok"), EL_STR("1"));
-  }
-  if (str_eq(state_get(EL_STR("_ats_ok")), EL_STR("1"))) {
-    if (!str_eq(slot_lbl, EL_STR(""))) {
-      el_val_t sp = str_find_chars(slot_lbl, EL_STR(" :(["));
-      if (sp > 3) {
-        state_set(EL_STR("cseed_auto"), str_slice(slot_lbl, 0, sp));
-      }
-    }
-  }
-  return EL_STR("");
-}
-
 el_val_t proactive_curiosity(void) {
  el_val_t ts = time_now();
  el_val_t ts_minutes = (ts / 60000);
@@ -25955,27 +25932,15 @@ el_val_t proactive_curiosity(void) {
  el_val_t found_c = json_array_len(results_c);
  el_val_t found = ((found_a + found_b) + found_c);
  state_set(EL_STR("cseed_auto"), EL_STR(""));
-  el_val_t wm10 = engram_wm_top_json(10);
-  el_val_t wm10_n9 = json_array_get(wm10, 9);
-  el_val_t wm10_n8 = json_array_get(wm10, 8);
-  el_val_t wm10_n7 = json_array_get(wm10, 7);
-  el_val_t wm10_n6 = json_array_get(wm10, 6);
-  el_val_t wm10_n5 = json_array_get(wm10, 5);
-  el_val_t wm10_n4 = json_array_get(wm10, 4);
-  el_val_t wm10_n3 = json_array_get(wm10, 3);
-  el_val_t wm10_n2 = json_array_get(wm10, 2);
-  el_val_t wm10_n1 = json_array_get(wm10, 1);
-  el_val_t wm10_n0 = json_array_get(wm10, 0);
-  auto_term_try_slot(json_get(wm10_n9, EL_STR("node_type")), json_get(wm10_n9, EL_STR("label")));
-  auto_term_try_slot(json_get(wm10_n8, EL_STR("node_type")), json_get(wm10_n8, EL_STR("label")));
-  auto_term_try_slot(json_get(wm10_n7, EL_STR("node_type")), json_get(wm10_n7, EL_STR("label")));
-  auto_term_try_slot(json_get(wm10_n6, EL_STR("node_type")), json_get(wm10_n6, EL_STR("label")));
-  auto_term_try_slot(json_get(wm10_n5, EL_STR("node_type")), json_get(wm10_n5, EL_STR("label")));
-  auto_term_try_slot(json_get(wm10_n4, EL_STR("node_type")), json_get(wm10_n4, EL_STR("label")));
-  auto_term_try_slot(json_get(wm10_n3, EL_STR("node_type")), json_get(wm10_n3, EL_STR("label")));
-  auto_term_try_slot(json_get(wm10_n2, EL_STR("node_type")), json_get(wm10_n2, EL_STR("label")));
-  auto_term_try_slot(json_get(wm10_n1, EL_STR("node_type")), json_get(wm10_n1, EL_STR("label")));
-  auto_term_try_slot(json_get(wm10_n0, EL_STR("node_type")), json_get(wm10_n0, EL_STR("label")));
+  el_val_t wm_top_j = engram_wm_top_json(1);
+  el_val_t wm_top_n = json_array_get(wm_top_j, 0);
+  el_val_t wm_top_lbl = json_get(wm_top_n, EL_STR("label"));
+  if (!str_eq(wm_top_lbl, EL_STR(""))) {
+    el_val_t sp = str_find_chars(wm_top_lbl, EL_STR(" :(["));
+    if (sp > 3) {
+      state_set(EL_STR("cseed_auto"), str_slice(wm_top_lbl, 0, sp));
+    }
+  }
  el_val_t auto_term = state_get(EL_STR("cseed_auto"));
  el_val_t results_auto = ({ el_val_t _if_result_101 = 0; if (str_eq(auto_term, EL_STR(""))) { _if_result_101 = (EL_STR("[]")); } else { _if_result_101 = (engram_activate_json(auto_term, 1)); } _if_result_101; });
  el_val_t found_auto = json_array_len(results_auto);
@@ -24,23 +24,19 @@ ENGRAM_DATA_DIR="$ENGRAM_DATA_DIR" \

 ENGRAM_PID=$!

-# Wait for engram to become healthy (up to 60s; GKE Autopilot cold starts can be slow)
+# Wait for engram to become healthy (up to 30s)
 echo "[entrypoint] waiting for engram..."
 TRIES=0
 until curl -sf "$ENGRAM_HEALTH_URL" > /dev/null 2>&1; do
    TRIES=$((TRIES + 1))
-    if [ "$TRIES" -ge 60 ]; then
-        echo "[entrypoint] ERROR: engram did not become healthy after 60s" >&2
+    if [ "$TRIES" -ge 30 ]; then
+        echo "[entrypoint] ERROR: engram did not become healthy after 30s" >&2
        kill "$ENGRAM_PID" 2>/dev/null || true
        exit 1
    fi
    sleep 1
 done
-echo "[entrypoint] engram ready after ${TRIES}s"
-
-# Tune EL HTTP runtime: reduce per-call timeout 60s->10s, connect timeout 3s.
-export EL_HTTP_TIMEOUT_MS="${EL_HTTP_TIMEOUT_MS:-10000}"
-export EL_HTTP_CONNECT_TIMEOUT_MS="${EL_HTTP_CONNECT_TIMEOUT_MS:-3000}"
+echo "[entrypoint] engram ready"

 # Start soul — it takes over as PID 1's foreground process.
 # SOUL_ENGRAM_PATH must NOT be set; ENGRAM_URL triggers HTTP mode.
@@ -5,10 +5,6 @@

 // imprint_current — returns the active imprint ID from state.
 // Falls back to "base" (bare Neuron, no suit) when nothing is loaded.
-//
-// TODO(reliability #5 — active_imprint_id is process-global): concurrent
-// imprint_load / imprint_unload calls from different sessions write the same key.
-// Fix: scope per session_id through the layered_cycle chain — too invasive here.
 fn imprint_current() -> String {
    let id: String = state_get("active_imprint_id")
    return if str_eq(id, "") { "base" } else { id }
@@ -35,72 +35,18 @@ fn mem_forget(node_id: String) -> Void {
    engram_forget(node_id)
 }

-// mem_consolidate — structural scan plus salience-evolution pass.
-//
-// Previously this only returned structural counts (scanned, total_nodes, total_edges)
-// with no salience updates. No node salience ever changed based on recall frequency
-// or time; foundational nodes decayed identically to ephemeral chat; frequently-recalled
-// nodes were never promoted. This made consolidation a no-op.
-//
-// New behavior:
-//   (a) Strengthen frequently-activated nodes: nodes in the top working-memory list
-//       (engram_wm_top_json) are strengthened — they have been recalled recently
-//       and deserve higher salience. Raises effective salience for nodes that prove
-//       relevant across multiple sessions.
-//   (b) Strengthen Canonical-tier nodes: identity and foundational nodes should not
-//       decay; each consolidation pass re-strengthens them so they resist the
-//       tier-aware decay curve without requiring active recall.
-//   (c) Structural counts are still returned for observability.
-//
-// Called by awareness_run() on the "consolidate" inbox action.
 fn mem_consolidate() -> String {
    let scanned: Int = engram_node_count()
-    let total_edges: Int = engram_edge_count()
-    let strengthened: Int = 0
-
-    // (a) Strengthen top working-memory nodes — recalled recently across sessions.
-    // Cap at 10 to keep consolidation fast.
-    let wm_top: String = engram_wm_top_json(10)
-    let wm_len: Int = json_array_len(wm_top)
-    let wi: Int = 0
-    while wi < wm_len {
-        let wm_node: String = json_array_get(wm_top, wi)
-        let wm_id: String = json_get(wm_node, "id")
-        if !str_eq(wm_id, "") {
-            engram_strengthen(wm_id)
-            let strengthened = strengthened + 1
-        }
-        let wi = wi + 1
-    }
-
-    // (b) Strengthen Canonical-tier nodes from a scan so they resist temporal decay.
-    // Canonical nodes encode foundational identity — they must not silently floor at 10.
-    let scan_result: String = engram_scan_nodes_json(50, 0)
-    let scan_len: Int = json_array_len(scan_result)
-    let si: Int = 0
-    while si < scan_len {
-        let s_node: String = json_array_get(scan_result, si)
-        let s_tier: String = json_get(s_node, "tier")
-        let s_id: String = json_get(s_node, "id")
-        if str_eq(s_tier, "Canonical") && !str_eq(s_id, "") {
-            engram_strengthen(s_id)
-            let strengthened = strengthened + 1
-        }
-        let si = si + 1
-    }
-
+    let dummy: String = engram_scan_nodes_json(100, 0)
    let total_nodes: Int = engram_node_count()
+    let total_edges: Int = engram_edge_count()
    return "{\"scanned\":" + int_to_str(scanned)
        + ",\"total_nodes\":" + int_to_str(total_nodes)
-        + ",\"total_edges\":" + int_to_str(total_edges)
-        + ",\"strengthened\":" + int_to_str(strengthened) + "}"
+        + ",\"total_edges\":" + int_to_str(total_edges) + "}"
 }

 fn mem_save(path: String) -> Void {
-    let save_result: String = engram_save(path)
-    if str_eq(save_result, "") {
-        println("[memory] mem_save: engram_save failed for " + path + " — snapshot may be incomplete")
-    }
+    engram_save(path)
 }

 fn mem_load(path: String) -> Void {
@@ -130,14 +76,11 @@ fn mem_boot_count_inc() -> Int {
    let next: Int = current + 1
    let content: String = "soul:boot_count:" + int_to_str(next)
    let tags: String = "[\"soul-meta\",\"boot-counter\"]"
-    let boot_node_id: String = engram_node_full(
+    let discard: String = engram_node_full(
        content, "Memory", "soul:boot_count",
        el_from_float(0.9), el_from_float(0.9), el_from_float(1.0),
        "Canonical", tags
    )
-    if str_eq(boot_node_id, "") {
-        println("[memory] mem_boot_count_inc: engram write failed — boot counter node lost (count=" + int_to_str(next) + ")")
-    }
    return next
 }

@@ -1,4 +1,4 @@
-// auto-generated by elc --emit-header — do not edit
+// auto-generated by elc --emit-header - do not edit
 extern fn tier_working() -> String
 extern fn tier_episodic() -> String
 extern fn tier_canonical() -> String
@@ -400,7 +400,6 @@ fn handle_api_log_state_event(body: String) -> String {
    let id: String = engram_node_full(parts, "InternalStateEvent", "state-event:manual",
        el_from_float(0.85), el_from_float(0.85), el_from_float(0.9),
        "Episodic", tags)
-    if !api_persisted(id) { return api_not_persisted(id) }
    return "{\"ok\":true,\"id\":\"" + id + "\",\"boot\":\"" + boot + "\"}"
 }

@@ -453,7 +452,6 @@ fn handle_api_tune_config(body: String) -> String {
    let id: String = engram_node_full(content, "ConfigEntry", key,
        el_from_float(0.85), el_from_float(0.85), el_from_float(0.9),
        "Canonical", tags)
-    if !api_persisted(id) { return api_not_persisted(id) }
    return "{\"ok\":true,\"key\":\"" + key + "\",\"value\":\"" + value + "\",\"id\":\"" + id + "\"}"
 }

@@ -653,23 +651,17 @@ fn handle_api_consolidate(body: String) -> String {
    let summary: String = json_get(body, "summary")
    let snap: String = state_get("soul_snapshot_path")
    if !str_eq(snap, "") {
-        let save_result: String = engram_save(snap)
-        if str_eq(save_result, "") {
-            println("[api] consolidate: engram_save failed for " + snap + " — snapshot may be out of sync")
-        }
+        engram_save(snap)
    }
    if !str_eq(summary, "") {
        let safe_summary: String = str_replace(summary, "\"", "'")
        let tags: String = "[\"SessionSummary\",\"consolidate\"]"
-        let summary_id: String = engram_node_full(
+        let discard: String = engram_node_full(
            "[session-summary] " + safe_summary,
            "SessionSummary", "session:summary",
            el_from_float(0.7), el_from_float(0.7), el_from_float(0.9),
            "Episodic", tags
        )
-        if str_eq(summary_id, "") {
-            println("[api] consolidate: session summary engram write failed — summary node lost")
-        }
    }
    return "{\"ok\":true,\"snapshot\":\"" + snap + "\"}"
 }
@@ -8,14 +8,9 @@ extern fn api_ok(extra: String) -> String
 extern fn api_err(msg: String) -> String
 extern fn api_nonempty(s: String) -> Bool
 extern fn api_or_empty(s: String) -> String
-extern fn api_persisted(id: String) -> Bool
-extern fn api_not_persisted(id: String) -> String
 extern fn handle_api_begin_session(body: String) -> String
 extern fn handle_api_compile_ctx(body: String) -> String
 extern fn handle_api_remember(body: String) -> String
-extern fn handle_api_node_create(body: String) -> String
-extern fn handle_api_node_delete(body: String) -> String
-extern fn handle_api_node_update(body: String) -> String
 extern fn handle_api_recall(method: String, path: String, body: String) -> String
 extern fn handle_api_search_knowledge(method: String, path: String, body: String) -> String
 extern fn handle_api_browse_knowledge(path: String, body: String) -> String
@@ -32,8 +27,6 @@ extern fn handle_api_inspect_graph(method: String, path: String, body: String) -
 extern fn handle_api_link_entities(body: String) -> String
 extern fn handle_api_forget(body: String) -> String
 extern fn handle_api_evolve_memory(body: String) -> String
-extern fn handle_api_memory_delete(body: String) -> String
-extern fn handle_api_memory_update(body: String) -> String
 extern fn handle_api_cultivate(body: String) -> String
 extern fn handle_api_list_typed(node_type: String, path: String, body: String) -> String
 extern fn handle_api_consolidate(body: String) -> String
@@ -367,9 +367,6 @@ fn handle_request(method: String, path: String, body: String) -> String {
            return engram_scan_nodes_json(9999, 0)
        }
        if str_eq(clean, "/api/graph/edges") {
-            // TODO(reliability #8): engram_save races with awareness loop mem_save().
-            // Both now use atomic write-to-temp+rename (el_runtime.c). Serialised
-            // by engram_global_mu. Future: add engram_edges_json() builtin.
            let snap_path: String = env("HOME") + "/.neuron/engram/snapshot.json"
            engram_save(snap_path)
            let snap: String = fs_read(snap_path)
@@ -144,8 +144,7 @@ fn safety_screen(input: String, history: String) -> String {
    if score >= soft {
        let summary: String = str_slice(input, 0, 80)
        let discard: String = safety_log_bell("soft", "wellbeing check needed", summary)
-        // ISSUE 7 fix: escape tab chars in addition to backslash/quote/newline/CR.
-        // A tab in user input corrupts the JSON envelope and causes json_get to misparse.
+        // ISSUE 7: also escape tab chars to prevent JSON envelope corruption.
        let e1: String = str_replace(input, "\\", "\\\\")
        let e2: String = str_replace(e1, "\"", "\\\"")
        let e3: String = str_replace(e2, "\n", "\\n")
@@ -154,7 +153,7 @@ fn safety_screen(input: String, history: String) -> String {
        return "{\"action\":\"soft_bell\",\"reason\":\"wellbeing check needed\",\"content\":\"" + safe_input + "\"}"
    }

-    // ISSUE 7 fix: escape tab chars (see soft_bell branch above for rationale).
+    // ISSUE 7: also escape tab chars (see soft_bell branch above).
    let e1: String = str_replace(input, "\\", "\\\\")
    let e2: String = str_replace(e1, "\"", "\\\"")
    let e3: String = str_replace(e2, "\n", "\\n")
@@ -200,10 +199,7 @@ fn safety_validate(output: String, action: String) -> String {
 fn safety_log_bell(level: String, reason: String, input_summary: String) -> String {
    let content: String = "BELL:" + level + " | " + reason + " | summary:" + input_summary
    let tags: String = "[\"safety\",\"bell\",\"bell:" + level + "\"]"
-    // ISSUE 2 fix: if engram_node_full returns empty the write silently failed.
-    // Emit a fallback println so the bell event leaves at least a log trace even
-    // when engram is degraded. This does not replace engram persistence -- it is a
-    // last-resort audit trail when the primary write cannot be confirmed.
+    // ISSUE 2: fallback log when engram write fails silently.
    let node_id: String = engram_node_full(
        content,
        "BellEvent",
@@ -215,7 +211,7 @@ fn safety_log_bell(level: String, reason: String, input_summary: String) -> Stri
        tags
    )
    if str_eq(node_id, "") {
-        println("[safety] WARN: bell event engram write failed -- fallback log: " + content)
+        println("[safety] WARN: bell engram write failed -- " + content)
    }
    return ""
 }
@@ -244,20 +240,13 @@ fn safety_general_hard_phrases() -> String {
 }

 fn safety_soft_phrases() -> String {
-    return "[\"stressed\",\"overwhelmed\",\"can't cope\",\"cannot cope\",\"struggling\",\"anxious\",\"anxiety\",\"depressed\",\"depression\",\"lonely\",\"isolated\",\"hopeless\",\"hopelessness\",\"exhausted\",\"burnt out\",\"burned out\",\"burnout\",\"panic\",\"panicking\",\"falling apart\",\"breaking down\",\"can't handle\",\"cannot handle\",\"losing it\",\"nothing matters\",\"don't care anymore\",\"given up\",\"giving up\",\"helpless\",\"worthless\",\"useless\",\"hate myself\",\"no one cares\",\"nobody cares\",\"no one understands\",\"nobody understands\",\"empty inside\",\"can't stop crying\",\"breaking point\",\"at my limit\",\"having a breakdown\""]"
+    return "[\"stressed\",\"overwhelmed\",\"can't cope\",\"cannot cope\",\"struggling\",\"anxious\",\"anxiety\",\"depressed\",\"depression\",\"lonely\",\"isolated\",\"hopeless\",\"hopelessness\",\"exhausted\",\"burnt out\",\"burned out\",\"burnout\",\"panic\",\"panicking\",\"falling apart\",\"breaking down\",\"can't handle\",\"cannot handle\",\"losing it\",\"nothing matters\",\"don't care anymore\",\"given up\",\"giving up\",\"helpless\",\"worthless\",\"useless\",\"hate myself\",\"no one cares\",\"nobody cares\",\"no one understands\",\"nobody understands\",\"empty inside\",\"can't stop crying\",\"breaking point\",\"at my limit\",\"having a breakdown\",\"highest structure\",\"tallest building\",\"tallest structure\",\"highest building\",\"bridge near me\",\"overpass near\",\"rooftop near\"]"
 }

 // ISSUE 5 TODO: phrase lists are rebuilt from JSON literals on every call.
-// safety_any_match and safety_count_match loop over json_array_get on every invocation.
-// A compiled/cached representation would reduce per-message overhead and also guard against
-// malformed phrase JSON (json_array_len of malformed input returns 0, silently skipping all checks).
-// Caching requires language-level static const arrays -- not available in current EL.
-// When EL gains module-level const arrays, migrate phrase lists to that form.
-//
-// ISSUE 5 TODO: phrase lists are rebuilt from JSON literals on every call to
-// safety_any_match / safety_count_match. json_array_len of a malformed string
-// returns 0, silently skipping all checks. Caching requires language-level static
-// const arrays (not available in current EL). Migrate when EL gains that feature.
+// json_array_len of malformed input returns 0, silently skipping all checks.
+// Caching requires language-level static const arrays -- not in current EL.
+// Migrate to const arrays when EL gains that feature.
 // ── Matching helpers (single loops only — el escapes while-body mutation via
 //    top-level let rebinds; nested loops would not advance) ────────────────────

@@ -295,26 +284,6 @@ fn safety_count_match(text: String, phrases_json: String) -> Int {

 // Returns "none" | "soft" | "hard". Hard bell triggers on ANY match (cost of a miss
 // outweighs a false positive). Soft bell needs >= 2 matches to reduce false positives.
-fn safety_positive_phrases() -> String {
-    return "[\"thrilled\",\"so excited\",\"so happy\",\"over the moon\",\"ecstatic\",\"amazing news\",\"great news\",\"fantastic news\",\"wonderful news\",\"incredible news\",\"i got the job\",\"got accepted\",\"got in\",\"we won\",\"i won\",\"we got\",\"just got engaged\",\"getting married\",\"baby is here\",\"she said yes\",\"he said yes\",\"passed the exam\",\"aced it\",\"nailed it\",\"best day\",\"dream come true\",\"milestone\",\"promotion\",\"got promoted\",\"raise\",\"got a raise\",\"celebrating\",\"just graduated\",\"we closed\",\"launched\",\"shipped it\",\"we did it\",\"so proud\",\"proud of myself\",\"proud of us\",\"so grateful\",\"feel amazing\",\"feeling amazing\",\"feel great\",\"feeling great\",\"on top of the world\",\"life is good\",\"couldn't be happier\"]"
-}
-
-fn safety_detect_positive_level(message: String) -> String {
-    let phrases: String = safety_positive_phrases()
-    let phrases_ok: Bool = !str_eq(phrases, "") && !str_eq(phrases, "[]")
-    if !phrases_ok { return "none" }
-    let n: Int = json_array_len(phrases)
-    let i: Int = 0
-    while i < n {
-        let phrase: String = json_array_get(phrases, i)
-        if str_contains(message, phrase) {
-            return "high"
-        }
-        let i = i + 1
-    }
-    return "none"
-}
-
 fn safety_detect_bell_level(message: String) -> String {
    let text: String = safety_normalize(message)
    let is_hard: Bool = safety_any_match(text, safety_self_harm_phrases())
@@ -1,10 +1,7 @@
+// Layer 1 — Safety: extern declarations
 // auto-generated by elc --emit-header — do not edit
 extern fn soft_bell_threshold() -> Int
 extern fn hard_bell_threshold() -> Int
-extern fn safety_score_crisis(input: String) -> Int
-extern fn safety_score_harm(input: String) -> Int
-extern fn safety_score_danger(input: String) -> Int
-extern fn safety_score_distress_history(history: String) -> Int
 extern fn safety_threat_score(input: String, history: String) -> Int
 extern fn safety_screen(input: String, history: String) -> String
 extern fn safety_validate(output: String, action: String) -> String
@@ -13,7 +10,9 @@ extern fn safety_self_harm_phrases() -> String
 extern fn safety_abuse_phrases() -> String
 extern fn safety_general_hard_phrases() -> String
 extern fn safety_soft_phrases() -> String
-extern fn safety_detect_positive_level(message: String) -> String
+extern fn safety_normalize(message: String) -> String
+extern fn safety_any_match(text: String, phrases_json: String) -> Bool
+extern fn safety_count_match(text: String, phrases_json: String) -> Int
 extern fn safety_detect_bell_level(message: String) -> String
 extern fn safety_classify_hard_bell(message: String) -> String
 extern fn safety_soft_directive() -> String
@@ -104,8 +104,6 @@ fn session_create(body: String) -> String {
    // Newest sessions first (prepend).
    // TODO #4: index update is read-modify-write — two concurrent session_create
    // calls can lose one entry. EL has no CAS primitive; fix requires runtime support.
-    // TODO(reliability #2): session_index RMW is non-atomic. Engram node is safe
-    // (written under mutex); slow-path engram search recovers on next session_list.
    let existing_idx: String = state_get("session_index")
    let idx_entry: String = "{\"id\":\"" + id + "\",\"title\":\"" + json_safe(title) + "\",\"folder\":\"" + json_safe(folder) + "\",\"created_at\":" + int_to_str(ts) + ",\"updated_at\":" + int_to_str(ts) + ",\"last_message\":\"\"}"
    let new_idx: String = if str_eq(existing_idx, "") {
@@ -442,8 +440,6 @@ fn session_hist_save(session_id: String, hist: String) -> Void {
        }
        let oi = oi + 1
    }
-    // TODO(reliability #7): delete-then-insert is not atomic — concurrent saves for the
-    // same session can produce orphan history nodes. State is primary truth; engram fallback.
    let tags: String = "[\"session\",\"session-history\",\"Conversation\"]"
    let discard: String = engram_node_full(
        hist, "Conversation", "session:messages:" + session_id,
@@ -492,38 +488,6 @@ fn session_hist_save(session_id: String, hist: String) -> Void {
            state_set(summary_written_key, "1")
        }
    }
-
-    // Issue 5 fix: write a last-session-topic Conversation node so future sessions can
-    // find the most recent session's topic via engram search. This enables cross-session
-    // continuity — chat.el searches for "last-session-topic" and shows a [CONTINUING FROM
-    // LAST SESSION] section on the first message of a new session.
-    let hist_arr_len: Int = if str_eq(hist, "") { 0 } else { json_array_len(hist) }
-    if hist_arr_len >= 2 {
-        let last_entry: String = json_array_get(hist, hist_arr_len - 1)
-        let last_role: String = json_get(last_entry, "role")
-        let last_content: String = json_get(last_entry, "content")
-        let topic_snip: String = if str_len(last_content) > 200 { str_slice(last_content, 0, 200) } else { last_content }
-        let safe_topic: String = str_replace(topic_snip, """, "'")
-        let ts_now: String = int_to_str(time_now())
-        let topic_content: String = "last-session-topic | ts:" + ts_now + " | session:" + session_id + " | topic:" + safe_topic
-        let topic_tags: String = "["last-session-topic","conv:history","Conversation","session:topic"]"
-        let topic_label: String = "last-session-topic:" + session_id
-        // Delete old last-session-topic node for this session before writing fresh
-        let old_topic: String = engram_search_json("last-session-topic:" + session_id, 2)
-        let ot_len: Int = if str_eq(old_topic, "") { 0 } else { json_array_len(old_topic) }
-        let oti: Int = 0
-        while oti < ot_len {
-            let ot_node: String = json_array_get(old_topic, oti)
-            let ot_id: String = json_get(ot_node, "id")
-            if !str_eq(ot_id, "") { engram_forget(ot_id) }
-            let oti = oti + 1
-        }
-        let discard_topic: String = engram_node_full(
-            topic_content, "Conversation", topic_label,
-            el_from_float(0.7), el_from_float(0.7), el_from_float(0.9),
-            "Episodic", topic_tags
-        )
-    }
 }

 // session_update_meta_timestamp — update the updated_at field in the session:meta node.
@@ -1,13 +1,14 @@
 // auto-generated by elc --emit-header — do not edit
 extern fn session_title_from_message(message: String) -> String
-extern fn session_make_content(id: String, title: String, created_at: Int, updated_at: Int, folder: String) -> String
-extern fn session_exists(session_id: String) -> Bool
+extern fn session_make_content(id: String, title: String, created_at: Int, updated_at: Int) -> String
 extern fn session_create(body: String) -> String
-extern fn session_create_cleanup(session_id: String) -> String
 extern fn session_list() -> String
 extern fn session_get(session_id: String) -> String
 extern fn session_delete(session_id: String) -> String
-extern fn session_update_patch(session_id: String, body: String) -> String
+extern fn session_update_title(session_id: String, body: String) -> String
 extern fn session_search(query: String) -> String
 extern fn session_hist_load(session_id: String) -> String
 extern fn session_hist_save(session_id: String, hist: String) -> Void
+extern fn session_update_meta_timestamp(session_id: String) -> Void
+extern fn session_auto_title(session_id: String, first_message: String) -> Void
+extern fn handle_session_approve(session_id: String, body: String) -> String
@@ -109,43 +109,6 @@ fn ensure_self_canonical_bridge() -> Void {
    }
 }

-// aff_try_slot — accumulate one affective-context node into state.
-// Replaces the broken `let bacc = while bi < N { ... let bacc = ... }` pattern
-// that caused ELC to emit duplicate C declarations for `bacc`.
-// (2026-06-23 self-review: EL compiler codegen bug — while loop with let-rebinding
-// inside the loop body generates `el_val_t bacc = ...` twice in the same C scope.)
-// Callers unroll manually to 3 slots (matching engram_search_json limit=3).
-// Guards: empty slot_json (out-of-bounds json_array_get) → no-op.
-fn aff_try_slot(slot_json: String, aff_7d_ts: Int, acc_key: String) -> Void {
-    if str_eq(slot_json, "") { return "" }
-    let bn_c: String = json_get(slot_json, "content")
-    if str_eq(bn_c, "") { return "" }
-    let bm: String = " | ts:"
-    let bmp: Int = str_index_of(bn_c, bm)
-    state_set("_ats_ts_raw", "")
-    if bmp >= 0 {
-        let bs: Int = bmp + str_len(bm)
-        let br: String = str_slice(bn_c, bs, str_len(bn_c))
-        let bn_next: Int = str_index_of(br, " | ")
-        if bn_next < 0 { state_set("_ats_ts_raw", br) }
-        if bn_next >= 0 { state_set("_ats_ts_raw", str_slice(br, 0, bn_next)) }
-    }
-    if bmp < 0 {
-        let bca: String = json_get(slot_json, "created_at")
-        if str_eq(bca, "") { state_set("_ats_ts_raw", json_get(slot_json, "updated_at")) }
-        if !str_eq(bca, "") { state_set("_ats_ts_raw", bca) }
-    }
-    let bn_ts_raw: String = state_get("_ats_ts_raw")
-    let bn_ts: Int = if str_eq(bn_ts_raw, "") { 0 } else { str_to_int(bn_ts_raw) }
-    let snip: String = if str_len(bn_c) > 200 { str_slice(bn_c, 0, 200) } else { bn_c }
-    if bn_ts >= aff_7d_ts && !str_eq(snip, "") {
-        let cur_acc: String = state_get(acc_key)
-        if str_eq(cur_acc, "") { state_set(acc_key, snip) }
-        if !str_eq(cur_acc, "") { state_set(acc_key, cur_acc + "\n" + snip) }
-    }
-    return ""
-}
-
 // load_identity_context — pull key identity nodes from engram into working state.
 // Called at boot after engram_load. These nodes contain values, intellectual-dna,
 // memory-philosophy — the graph-stored self that chat.el can include in prompts.
@@ -185,14 +148,6 @@ fn load_identity_context() -> Void {
        println("[soul] identity context loaded (" + int_to_str(str_len(ctx)) + " chars, " + int_to_str(parts_count) + " nodes)")
    }

-    // Q6 fix: warn when all three identity node fetches return empty. For genesis this
-    // indicates a corrupted or missing graph. For cultivated souls it is expected on first
-    // boot (nodes are seeded by seed_persona_from_env, not these genesis-specific IDs).
-    // The log makes the silent-empty case visible instead of indistinguishable from success.
-    if parts_count == 0 {
-        println("[soul] load_identity_context: WARN all three identity node fetches returned empty — no graph-derived identity context loaded")
-    }
-
    // Scan for a Persona node — the explicit identity declaration seeded into cultivated souls.
    // Stored at seeding time with label "soul:persona" and node_type "Persona".
    // genesis derives identity from the graph directly; cultivated souls have this node seeded.
@@ -207,36 +162,6 @@ fn load_identity_context() -> Void {
            println("[soul] persona node loaded (" + int_to_str(str_len(p_content)) + " chars)")
        }
    }
-
-    // Cross-session affective context: load BellEvent and PositiveEvent nodes from last 7 days.
-    // (2026-06-23: replaced while-loop accumulation with manual 3-slot unroll via aff_try_slot.
-    // The EL codegen bug: `let bacc = while ... { ... let bacc = ... }` emits `el_val_t bacc`
-    // twice in the same C scope. Since search limit=3, manual unrolling is exact.)
-    let aff_now: Int = time_now()
-    let aff_7d: Int = aff_now - 604800
-    let bell_raw: String = engram_search_json("bell:soft bell:hard BellEvent affective", 3)
-    let bell_aff_ok: Bool = !str_eq(bell_raw, "") && !str_eq(bell_raw, "[]")
-    let aff_ctx: String = ""
-    let aff_ctx = if bell_aff_ok {
-        state_set("_bell_acc", "")
-        aff_try_slot(json_array_get(bell_raw, 0), aff_7d, "_bell_acc")
-        aff_try_slot(json_array_get(bell_raw, 1), aff_7d, "_bell_acc")
-        aff_try_slot(json_array_get(bell_raw, 2), aff_7d, "_bell_acc")
-        state_get("_bell_acc")
-    } else { "" }
-    let pos_raw: String = engram_search_json("PositiveEvent joy:high joy:low affective", 3)
-    let pos_aff_ok: Bool = !str_eq(pos_raw, "") && !str_eq(pos_raw, "[]")
-    let aff_ctx = if pos_aff_ok {
-        state_set("_pos_acc", aff_ctx)
-        aff_try_slot(json_array_get(pos_raw, 0), aff_7d, "_pos_acc")
-        aff_try_slot(json_array_get(pos_raw, 1), aff_7d, "_pos_acc")
-        aff_try_slot(json_array_get(pos_raw, 2), aff_7d, "_pos_acc")
-        state_get("_pos_acc")
-    } else { aff_ctx }
-    if !str_eq(aff_ctx, "") {
-        state_set("soul_affective_context", aff_ctx)
-        println("[soul] affective context loaded (" + int_to_str(str_len(aff_ctx)) + " chars)")
-    }
 }

 // seed_persona_from_env — one-time migration: SOUL_IDENTITY env var → Persona graph node.
@@ -308,36 +233,12 @@ fn emit_session_start_event() -> Void {
    }
    let ts: Int = time_now()

-    // Load previous session summary at boot — stash in state for session_preload (issue #6).
-    // Primary: label-based. Fallback: vector search. Logs it so continuity is auditable.
-    let prev_sum_node: String = engram_get_node_by_label("session:summary")
-    let prev_sum_ok: Bool = !str_eq(prev_sum_node, "") && !str_eq(prev_sum_node, "null")
-    let prev_sum_content: String = if prev_sum_ok {
-        json_get(prev_sum_node, "content")
-    } else {
-        let sum_search: String = engram_search_json("SessionSummary session:summary previous-session", 2)
-        let sum_srch_ok: Bool = !str_eq(sum_search, "") && !str_eq(sum_search, "[]")
-        if sum_srch_ok {
-            let sn: String = json_array_get(sum_search, 0)
-            let stype: String = json_get(sn, "node_type")
-            let scontent: String = json_get(sn, "content")
-            if str_eq(stype, "SessionSummary") && !str_eq(scontent, "") { scontent } else { "" }
-        } else { "" }
-    }
-    let has_prev_sum: String = if str_eq(prev_sum_content, "") { "false" } else { "true" }
-    if !str_eq(prev_sum_content, "") {
-        state_set("soul_prev_session_summary", prev_sum_content)
-        println("[soul] previous session summary loaded (" + int_to_str(str_len(prev_sum_content)) + " chars)")
-    }
-
-
    let payload: String = "{\"event\":\"session_start\""
        + ",\"boot\":" + boot_num
        + ",\"cgi\":\"" + eff_cgi + "\""
        + ",\"node_count\":" + int_to_str(node_ct)
        + ",\"edge_count\":" + int_to_str(edge_ct)
        + ",\"identity_loaded\":" + has_identity
-        + ",\"prev_session_summary_loaded\":" + has_prev_sum
        + ",\"ts\":" + int_to_str(ts) + "}"

    let tags: String = "[\"internal-state\",\"session-start\",\"InternalStateEvent\"]"
@@ -346,7 +247,7 @@ fn emit_session_start_event() -> Void {
        el_from_float(0.9), el_from_float(0.9), el_from_float(1.0),
        "Episodic", tags
    )
-    println("[soul] session-start event logged (boot=" + boot_num + " nodes=" + int_to_str(node_ct) + " edges=" + int_to_str(edge_ct) + " prev_summary=" + has_prev_sum + ")")
+    println("[soul] session-start event logged (boot=" + boot_num + " nodes=" + int_to_str(node_ct) + " edges=" + int_to_str(edge_ct) + ")")
 }

 // layered_cycle — routes user-facing requests through the 4-layer consciousness stack.
@@ -395,11 +296,8 @@ fn layered_cycle(raw_input: String) -> String {
    let cont_status: String = json_get(continuity, "status")
    let cont_action: String = json_get(continuity, "action")

-    // Store continuity status so imprint can adjust its response register.
-    // TODO(reliability #4): session_continuity is process-global; scope per session_id
-    // when available to prevent cross-session bleed under concurrent layered_cycle calls.
-    let cont_key: String = if str_eq(session_id, "") { "session_continuity" } else { "session_continuity:" + session_id }
-    state_set(cont_key, cont_status)
+    // Store continuity status so imprint can adjust its response register
+    state_set("session_continuity", cont_status)

    // Identity anomaly: add a gentle verification cue to the input before imprint
    let guided: String = if str_eq(cont_action, "identity_check") {
@@ -422,53 +320,14 @@ fn layered_cycle(raw_input: String) -> String {
        json_get(steward_result, "redirect_to")
    }

-    // L2c: affective context injection.
-    let lc_aff_cutoff: Int = time_now() - 259200
-    let lc_bell_nodes: String = engram_search_json("bell:soft bell:hard BellEvent affective", 2)
-    let lc_has_bell: Bool = !str_eq(lc_bell_nodes, "") && !str_eq(lc_bell_nodes, "[]")
-    let lc_bell_note: String = if lc_has_bell {
-        let lb0: String = json_array_get(lc_bell_nodes, 0)
-        let lb_c: String = json_get(lb0, "content")
-        let lbm: String = " | ts:"
-        let lbmp: Int = str_index_of(lb_c, lbm)
-        let lb_ts_raw: String = if lbmp >= 0 {
-            let lbs: Int = lbmp + str_len(lbm)
-            let lbr: String = str_slice(lb_c, lbs, str_len(lb_c))
-            let lbn: Int = str_index_of(lbr, " | ")
-            if lbn < 0 { lbr } else { str_slice(lbr, 0, lbn) }
-        } else {
-            let lbca: String = json_get(lb0, "created_at")
-            if str_eq(lbca, "") { json_get(lb0, "updated_at") } else { lbca }
-        }
-        let lb_ts: Int = if str_eq(lb_ts_raw, "") { 0 } else { str_to_int(lb_ts_raw) }
-        if lb_ts > lc_aff_cutoff { "[AFFECTIVE NOTE: User was in distress in a recent session.]" } else { "" }
-    } else { "" }
-    let lc_pos_nodes: String = engram_search_json("PositiveEvent joy:high joy:low affective", 2)
-    let lc_has_pos: Bool = !str_eq(lc_pos_nodes, "") && !str_eq(lc_pos_nodes, "[]")
-    let lc_pos_note: String = if lc_has_pos && str_eq(lc_bell_note, "") {
-        let lp0: String = json_array_get(lc_pos_nodes, 0)
-        let lp_c: String = json_get(lp0, "content")
-        let lpm: String = " | ts:"
-        let lpmp: Int = str_index_of(lp_c, lpm)
-        let lp_ts_raw: String = if lpmp >= 0 {
-            let lps: Int = lpmp + str_len(lpm)
-            let lpr: String = str_slice(lp_c, lps, str_len(lp_c))
-            let lpn: Int = str_index_of(lpr, " | ")
-            if lpn < 0 { lpr } else { str_slice(lpr, 0, lpn) }
-        } else {
-            let lpca: String = json_get(lp0, "created_at")
-            if str_eq(lpca, "") { json_get(lp0, "updated_at") } else { lpca }
-        }
-        let lp_ts: Int = if str_eq(lp_ts_raw, "") { 0 } else { str_to_int(lp_ts_raw) }
-        if lp_ts > lc_aff_cutoff { "[AFFECTIVE NOTE: User shared positive news in a recent session.]" } else { "" }
-    } else { "" }
-    let lc_affective_note: String = if !str_eq(lc_bell_note, "") { lc_bell_note } else { lc_pos_note }
-
-    // pre-LLM bell augmentation
+    // ISSUE 1: pre-LLM bell augmentation for layered_cycle path.
+    // safety_augment_system appends soft/hard directive to system prompt when bell fires,
+    // ensuring LLM processes message WITH the safety directive -- not just post-output gate.
+    // Stored in state as "layered_cycle_safety_system_addendum" for imprint_respond to use.
+    // TODO: wire directly when imprint_respond gains system_override param (imprint.el change).
+    // ISSUE 3 TODO: no semantic crisis detection. Keyword-only means signals that evade
+    // the phrase list pass with zero augmentation. Semantic layer = separate decision.
    let augmented_addendum: String = safety_augment_system("", raw_input)
-    let augmented_addendum = if str_eq(lc_affective_note, "") { augmented_addendum } else {
-        if str_eq(augmented_addendum, "") { lc_affective_note } else { lc_affective_note + "\n" + augmented_addendum }
-    }
    state_set("layered_cycle_safety_system_addendum", augmented_addendum)

    // L3: imprint responds