add nocmem: auto memory recall + ingest via NuoNuo hippocampal network

- nocmem Python service (mem/): FastAPI wrapper around NuoNuo's
  Hopfield-Hebbian memory, with /recall, /ingest, /store, /stats endpoints
- NOC integration: auto recall after user message (injected as system msg),
  async ingest after LLM response (fire-and-forget)
- Recall: cosine pre-filter (threshold 0.35) + Hopfield attention (β=32),
  top_k=3, KV-cache friendly (appended after user msg, not in system prompt)
- Ingest: LLM extraction + paraphrase augmentation, heuristic fallback
- Wired into main.rs, life.rs (agent done), http.rs (api chat)
- Config: optional `nocmem.endpoint` in config.yaml
- Includes benchmarks: LongMemEval (R@5=94.0%), efficiency, noise vs scale
- Design doc: doc/nocmem.md

src/main.rs

@@ -3,6 +3,7 @@ mod display;
 mod gitea;
 mod http;
 mod life;
+mod nocmem;
 mod output;
 mod state;
 mod stream;
@@ -388,6 +389,14 @@ async fn handle_inner(
     let user_content = build_user_content(&prompt, &scratch, &uploaded);
     api_messages.push(serde_json::json!({"role": "user", "content": user_content}));
 
+    // auto recall from nocmem
+    if let Some(ref nocmem) = config.nocmem {
+        let recalled = nocmem::recall(&nocmem.endpoint, &prompt).await;
+        if !recalled.is_empty() {
+            api_messages.push(serde_json::json!({"role": "system", "content": recalled}));
+        }
+    }
+
     let mut tg_output = TelegramOutput::new(bot.clone(), chat_id, is_private);
 
     match run_openai_with_tools(
@@ -399,6 +408,15 @@ async fn handle_inner(
             state.push_message(&sid, "user", &prompt).await;
             if !response.is_empty() {
                 state.push_message(&sid, "assistant", &response).await;
+
+                // async ingest to nocmem (fire-and-forget)
+                if let Some(ref nocmem) = config.nocmem {
+                    nocmem::ingest_spawn(
+                        nocmem.endpoint.clone(),
+                        prompt.clone(),
+                        response.clone(),
+                    );
+                }
             }
 
             // sliding window