runtime: anchor the think read, so Neuron can think at all

engram_think_json passed NULL as the anchor. NULL is not "no opinion":
engram_think re-origins at `anchor ? anchor : region->centroid`, so NULL
means "read from the centroid" — and the centroid is the one point where
the gradient is zero by construction. r = x - centroid = 0, so every axis
projection is 0, grad is 0, and direction takes the "at rest" branch at
engram_cognition.c:137.

Measured consequence: EVERY faculty returned an identical null result,
differing only in its label —
  {"direction":[0,0,0,0,0,0,0,0],"spread":0,"magnitude":1,"confidence":0.5}
magnitude 1 is membership evaluated at the centroid, spread 0 is its
distance to itself, confidence 0.5 is the stance fallback. The geometry was
never at fault: /api/drift computes real values (centroid_sep 0.104,
core_disp 0.045) over the very same 87 members. Neuron could not think
because the read was always taken from the region's own centre.

The seeds choose WHICH region; they must also supply the VANTAGE. Anchor at
the first resolvable embedded seed — the same seed eg_geo_build_desc infers
dim from, so the two can never disagree. One seed still yields a real
gradient because the descriptor expands to that seed's neighbourhood, so
the seed's position is distinct from the neighbourhood centroid.

The vector is COPIED, never borrowed: g->nodes is realloc'd in place on
append, so a borrowed EngramNode* dangles across any concurrent write.

Verified against a clone of the production store (13,616 nodes / 37,865
edges):
  self anchor   n_support 87  magnitude 0.00282  spread 18.79
  values hub    n_support 28  magnitude 0.00318  spread 17.72
with distinct unit direction vectors. Previously both returned the zero
vector with magnitude 1 and spread 0.

STILL OPEN, now isolated by this fix: all five faculties return identical
numbers and confidence stays 0.5, because cog_stance_init is passed NULL
for the stance and the faculty enters the computation only through the
stance's axis_gain[] and bias_dir. The faculty label is inert until a
stance is loaded — which is what learn()'s correspondence-beat calibrates.
Same shape as this bug: a neutral parameter collapsing a capability to a
constant.

engram/src/server.el

@@ -288,6 +288,27 @@ fn route_create_node(method: String, path: String, body: String) -> String {
         salience, importance, confidence,
         tier, tags
     )
+    // GEOMETRY INGEST (2026-08-16 self-review): this route accepted an "emb"
+    // field, returned 200 with a fresh id, and stored NOTHING — engram_node_full
+    // has no vector parameter, so the caller's geometry was silently discarded
+    // and the node came back emb_dim=None / embedded:false. Measured live while
+    // trying to admit a voice signal. The consequence was structural, not
+    // cosmetic: text was the only entry medium, so any non-text modality had to
+    // be DESCRIBED in prose and what we then reasoned over was the geometry of
+    // the description, not of the signal.
+    //
+    // "emb" is little-endian float32 hex (dim*8 chars) — the encoding the
+    // perception vessel's /voice/embed already emits, so a realizer's output
+    // moves in with no float-array round trip. "dim" defaults to the vector's
+    // implied width. Off-dimension vectors are stored but not inserted into the
+    // resident index (its build loop filters on emb_dim), so a modality vector
+    // is durable and addressable without perturbing the canonical index.
+    let emb_hex: String = json_get_string(body, "emb")
+    let emb_set: Int = if str_eq(emb_hex, "") { 0 } else {
+        let dim_raw: String = json_get_raw(body, "dim")
+        let dim: Int = if str_eq(dim_raw, "") { str_len(emb_hex) / 8 } else { json_get_int(body, "dim") }
+        engram_node_set_emb(id, emb_hex, dim)
+    }
     let saved: Int = persist_node(id)
     // ORPHAN PREVENTION (ENGRAM_AUTOCONNECT): connect the fresh node to its
     // nearest embedded neighbors so it never enters the graph edgeless.
@@ -298,7 +319,11 @@ fn route_create_node(method: String, path: String, body: String) -> String {
         if added > 0 { let sv2: Int = persist_edges_since(ec0) }
         added
     } else { 0 }
-    "{\"id\":\"" + id + "\",\"content\":\"" + content + "\",\"node_type\":\"" + node_type + "\",\"connected\":" + int_to_str(connected) + "}"
+    // Report whether the supplied geometry actually landed. The old response
+    // was success-shaped regardless — 200 with an id while the vector was
+    // discarded — which is how the drop went unnoticed. A caller can now
+    // assert on emb_set instead of trusting the status code.
+    "{\"id\":\"" + id + "\",\"content\":\"" + content + "\",\"node_type\":\"" + node_type + "\",\"connected\":" + int_to_str(connected) + ",\"emb_set\":" + int_to_str(emb_set) + "}"
 }
 
 fn route_get_node(method: String, path: String, body: String) -> String {

lang/runtime/el_runtime.c

@@ -8507,6 +8507,80 @@ el_val_t engram_node_count(void) {
     return (el_val_t)engram_get()->node_count;
 }
 
+/* engram_node_set_emb — attach GEOMETRY to an existing node.
+ *
+ * WHY THIS EXISTS (2026-08-16). Until now no ingest path could carry a
+ * vector. engram_node / engram_node_full / engram_node_layered take text
+ * only, and the sole way a node acquired an embedding was
+ * engram_embed_backfill DERIVING one from n->content. That made text the
+ * mandatory entry medium: any non-text modality (audio, image, sensor)
+ * had to be described in prose first, and the geometry we then reasoned
+ * over was the geometry OF THE DESCRIPTION, not of the signal. Measured
+ * consequence: POST /api/nodes accepted an "emb" field, returned 200 with
+ * a fresh id, and stored emb_dim=None / embedded:false — the vector was
+ * silently discarded because no parameter existed to receive it.
+ *
+ * `hex` is little-endian float32, the encoding the perception vessel's
+ * /voice/embed already emits, so a realizer's output moves in without a
+ * JSON float-array round trip. Length must be exactly dim*8 hex chars.
+ *
+ * DIMENSION POLICY: dim need NOT equal the canonical text-embedding dim.
+ * A modality vector of a different width is stored and is simply not
+ * inserted into the resident HNSW index, whose build loop already filters
+ * on `n->emb_dim == dim`. So off-dimension geometry is durable and
+ * addressable without perturbing the canonical index.
+ *
+ * Setting emb also makes the node ineligible for embed_backfill (which
+ * only fills nodes with no emb), so a realizer's vector is never
+ * overwritten by a text-derived one.
+ *
+ * Returns 1 on success, 0 on unknown id / malformed hex / bad dim. */
+el_val_t engram_node_set_emb(el_val_t id, el_val_t hex, el_val_t dim) {
+    const char* sid = EL_CSTR(id);
+    const char* sh  = EL_CSTR(hex);
+    int32_t d = (int32_t)(int64_t)dim;
+    /* Bound the allocation. No max-dim constant existed because no caller
+     * could supply a dim before this function; 8192 is generous for any
+     * realizer (canonical text embeddings are 768, MFCC voice stats 64)
+     * while keeping a malformed `dim` from requesting an unbounded malloc. */
+    if (!sid || !*sid || !sh || d <= 0 || d > 8192) return (el_val_t)0;
+
+    size_t need = (size_t)d * 8u;           /* 4 bytes → 8 hex chars per float */
+    if (strlen(sh) != need) return (el_val_t)0;
+
+    EngramNode* n = engram_find_node(sid);
+    if (!n) return (el_val_t)0;
+
+    float* v = (float*)malloc(sizeof(float) * (size_t)d);
+    if (!v) return (el_val_t)0;
+
+    for (int32_t i = 0; i < d; i++) {
+        uint32_t w = 0;
+        for (int k = 0; k < 8; k++) {
+            char c = sh[(size_t)i * 8u + (size_t)k];
+            uint32_t nib;
+            if      (c >= '0' && c <= '9') nib = (uint32_t)(c - '0');
+            else if (c >= 'a' && c <= 'f') nib = (uint32_t)(c - 'a' + 10);
+            else if (c >= 'A' && c <= 'F') nib = (uint32_t)(c - 'A' + 10);
+            else { free(v); return (el_val_t)0; }
+            w = (w << 4) | nib;
+        }
+        /* Hex is emitted little-endian byte order; rebuild the word. */
+        uint32_t le = ((w & 0x000000FFu) << 24) | ((w & 0x0000FF00u) << 8) |
+                      ((w & 0x00FF0000u) >> 8)  | ((w & 0xFF000000u) >> 24);
+        float f;
+        memcpy(&f, &le, sizeof(f));
+        v[i] = f;
+    }
+
+    free(n->emb);
+    n->emb     = v;
+    n->emb_dim = d;
+    n->updated_at = engram_now_ms();
+    if (engram_store_enabled()) eg_store_put_node(n);
+    return (el_val_t)1;
+}
+
 /* ── Telemetry retention ────────────────────────────────────────────────────
  * (2026-07-16 self-review) InternalStateEvent nodes are append-only telemetry
  * (heartbeat, curiosity_scan, engram_sync) written ~3/min by the awareness
@@ -11302,6 +11376,15 @@ static void engram_emit_node_json(JsonBuf* b, const EngramNode* n, int include_e
     snprintf(tmp, sizeof(tmp), ",\"wm_anchor\":%g",             n->wm_anchor);             jb_puts(b, tmp);
     snprintf(tmp, sizeof(tmp), ",\"base_level\":%g",
              engram_bll_base_level(n, engram_now_ms()));                                   jb_puts(b, tmp);
+    /* GEOMETRY VISIBILITY (2026-08-16 self-review): the node document never
+     * said whether the node carried a vector, so a read-back could not tell
+     * "has geometry" from "text only". Not cosmetic — it is exactly how a
+     * real ingest drop and a mere reporting gap became indistinguishable,
+     * and I misdiagnosed one as the other for an hour. Always emit the width
+     * and the boolean; the vector itself stays behind include_emb since it
+     * is large and most callers do not want it inline. */
+    snprintf(tmp, sizeof(tmp), ",\"emb_dim\":%d,\"embedded\":%s",
+             (int)n->emb_dim, (n->emb && n->emb_dim > 0) ? "true" : "false");              jb_puts(b, tmp);
     /* Base-level access history: chronological (oldest→newest) compact
      * string. Loaders replay it through engram_bll_record_access; absent
      * field = empty ring (optimized-form fallback). (2026-07-22) */
@@ -13692,7 +13775,65 @@ el_val_t engram_think_json(el_val_t seeds, el_val_t faculty) {
     if (!g) return eg_geo_err("geometry unavailable");
     CogStance st; cog_stance_init(&st, NULL, EL_CSTR(faculty), g->hub_id, NULL, g);
     GeoGradient grad;
-    if (engram_think(g, NULL, &st, &grad) != 0) { cog_stance_free(&st); engram_geo_free(g); return eg_geo_err("think failed"); }
+
+    /* ANCHOR THE READ (2026-08-16 self-review). This passed NULL, and NULL is
+     * not "no opinion" — engram_think re-origins at `anchor ? anchor :
+     * region->centroid`, so NULL means "read from the centroid", and the
+     * centroid is the ONE point where the gradient is zero by construction:
+     * r = x - centroid = 0, so every axis projection is 0, grad is 0, and
+     * direction takes the "at rest" branch. Measured consequence: EVERY
+     * faculty — reason, abduce, induce, plan, analogize — returned an
+     * identical null result, differing only in its label:
+     *     {"direction":[0,0,...],"spread":0,"magnitude":1,"confidence":0.5}
+     * magnitude 1 is membership evaluated at the centroid, spread 0 is its
+     * distance to itself, and confidence 0.5 is the stance fallback. The
+     * geometry was never the problem — /api/drift computes real values
+     * (centroid_sep 0.104, core_disp 0.045) over the very same 87 members.
+     * Neuron could not think because the read was always taken from the
+     * region's own centre.
+     *
+     * The seeds choose WHICH region; they must also supply the VANTAGE it is
+     * read from. Anchor at the first resolvable embedded seed — the same seed
+     * eg_geo_build_desc infers `dim` from, so the two never disagree. A single
+     * seed still yields a real gradient because the descriptor expands to the
+     * seed's neighbourhood (87 members for the self anchor), so the seed's own
+     * position is distinct from the neighbourhood centroid.
+     *
+     * COPY the vector, never borrow it: g->nodes is realloc'd in place on
+     * append, so a borrowed EngramNode* is a dangling pointer across any
+     * concurrent write. 768 floats is 3 KB. */
+    float* anchor = NULL;
+    {
+        EngramStore* eg = engram_get();
+        const char* csv = EL_CSTR(seeds);
+        if (eg && csv) {
+            const char* p = csv;
+            while (*p && !anchor) {
+                while (*p == ' ' || *p == ',') p++;
+                const char* s = p;
+                while (*p && *p != ',') p++;
+                const char* e = p; while (e > s && e[-1] == ' ') e--;
+                if (e > s) {
+                    char* id = strndup(s, (size_t)(e - s));
+                    if (id) {
+                        int64_t idx = engram_find_node_index(id);
+                        if (idx >= 0 && idx < eg->node_count) {
+                            EngramNode* n = &eg->nodes[idx];
+                            if (n->emb && n->emb_dim == g->dim) {
+                                anchor = malloc(sizeof(float) * (size_t)g->dim);
+                                if (anchor) memcpy(anchor, n->emb,
+                                                   sizeof(float) * (size_t)g->dim);
+                            }
+                        }
+                        free(id);
+                    }
+                }
+            }
+        }
+    }
+
+    if (engram_think(g, anchor, &st, &grad) != 0) { free(anchor); cog_stance_free(&st); engram_geo_free(g); return eg_geo_err("think failed"); }
+    free(anchor);
     JsonBuf b; jb_init(&b); char t[256];
     snprintf(t, sizeof t, "{\"faculty\":\"%s\",\"n_support\":%d,\"magnitude\":%.6g,\"spread\":%.6g,\"confidence\":%.6g,\"dim\":%d",
              EL_CSTR(faculty), grad.n_support, grad.magnitude, grad.spread, grad.confidence, grad.dim);

lang/runtime/el_runtime.h

@@ -613,6 +613,11 @@ void      engram_strengthen(el_val_t node_id);
 void      engram_forget(el_val_t node_id);
 el_val_t  engram_prune_telemetry(el_val_t older_than_ms);
 el_val_t  engram_node_count(void);
+/* Attach geometry to an existing node. `hex` is little-endian float32,
+ * exactly dim*8 hex chars — the encoding realizers already emit. Lets a
+ * non-text modality enter as geometry instead of being described in prose
+ * and embedded as its description. Returns 1 on success, 0 otherwise. */
+el_val_t  engram_node_set_emb(el_val_t id, el_val_t hex, el_val_t dim);
 el_val_t  engram_search(el_val_t query, el_val_t limit);
 el_val_t  engram_scan_nodes(el_val_t limit, el_val_t offset);
 void      engram_connect(el_val_t from_id, el_val_t to_id, el_val_t weight, el_val_t relation);