feat(recall): cross-session-continuity improvements

soul.el

@@ -162,6 +162,48 @@ fn load_identity_context() -> Void {
             println("[soul] persona node loaded (" + int_to_str(str_len(p_content)) + " chars)")
         }
     }
+
+    // Cross-session affective context: query engram for recent distress/crisis signals.
+    // Broadened query includes session:emotional-summary and BellEvent tags (issue #10):
+    // the old keywords-only search missed these nodes when their content lacked exact phrases.
+    // 7-day recency window applied via the "ts" field embedded in BellEvent content.
+    let affective_raw: String = engram_search_json("distress crisis upset hopeless session:emotional-summary BellEvent bell:hard bell:soft", 5)
+    let affective_ok: Bool = !str_eq(affective_raw, "") && !str_eq(affective_raw, "[]")
+    if affective_ok {
+        let ts_now: Int = time_now()
+        let ts_cutoff: Int = ts_now - 604800
+        let aff_total: Int = json_array_len(affective_raw)
+        let aff_ctx: String = ""
+        let ai: Int = 0
+        while ai < aff_total {
+            let aff_node: String = json_array_get(affective_raw, ai)
+            let aff_content: String = json_get(aff_node, "content")
+            // Try multiple timestamp fields: "ts" (embedded), "created_at", "updated_at"
+            let aff_ts_str: String = json_get(aff_node, "ts")
+            let aff_ts_str2: String = if str_eq(aff_ts_str, "") { json_get(aff_node, "created_at") } else { aff_ts_str }
+            // Also try embedded " | ts:NNN" format used in BellEvent content
+            let ts_marker: String = " | ts:"
+            let ts_pos: Int = str_index_of(aff_content, ts_marker)
+            let aff_ts_embedded: String = if ts_pos >= 0 {
+                let ts_start: Int = ts_pos + str_len(ts_marker)
+                let rest: String = str_slice(aff_content, ts_start, str_len(aff_content))
+                let next_sep: Int = str_index_of(rest, " | ")
+                if next_sep < 0 { rest } else { str_slice(rest, 0, next_sep) }
+            } else { "" }
+            let eff_ts_str: String = if !str_eq(aff_ts_embedded, "") { aff_ts_embedded } else { aff_ts_str2 }
+            let aff_ts: Int = if str_eq(eff_ts_str, "") { ts_now } else { str_to_int(eff_ts_str) }
+            let is_recent: Bool = aff_ts >= ts_cutoff
+            let snip: String = if str_len(aff_content) > 200 { str_slice(aff_content, 0, 200) } else { aff_content }
+            let aff_ctx = if is_recent && !str_eq(snip, "") {
+                if str_eq(aff_ctx, "") { snip } else { aff_ctx + "\n" + snip }
+            } else { aff_ctx }
+            let ai = ai + 1
+        }
+        if !str_eq(aff_ctx, "") {
+            state_set("soul_affective_context", aff_ctx)
+            println("[soul] cross-session 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.
@@ -233,12 +275,36 @@ 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\"]"
@@ -247,7 +313,7 @@ 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) + ")")
+    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 + ")")
 }
 
 // layered_cycle — routes user-facing requests through the 4-layer consciousness stack.