Add pre_llm_call hook to inject memory context before LLM

- Register pre_llm_call hook that searches memories and injects context
- Add queue_prefetch_and_get() for synchronous prefetch in hook
- Memory now available to AI without tool calls

__init__.py

@@ -287,6 +287,27 @@ class Mem0LocalMemoryProvider(MemoryProvider):
             return ""
         return f"## Mem0 Memory\n{result}"
 
+    def queue_prefetch_and_get(self, query: str) -> str:
+        """Sync prefetch for pre_llm_call hook - returns memory context immediately."""
+        if self._is_breaker_open():
+            return ""
+        try:
+            client = self._get_client()
+            results = client.search(
+                query=query,
+                user_id=self._user_id,
+                limit=5,
+            )
+            if results:
+                lines = [r.get("text", "") for r in results if r.get("text")]
+                if lines:
+                    self._record_success()
+                    return "\n".join(f"- {line}" for line in lines)
+        except Exception as e:
+            self._record_failure()
+            logger.debug("Mem0 prefetch failed: %s", e)
+        return ""
+
     def queue_prefetch(self, query: str, *, session_id: str = "") -> None:
         """Queue async prefetch for next turn (called before LLM request)."""
         if self._is_breaker_open():
@@ -463,3 +484,17 @@ def register(ctx) -> None:
             handler=make_handler(schema["name"]),
         )
         logger.debug("Registered tool: %s", schema["name"])
+
+    # Register pre_llm_call hook to inject memory context
+    def pre_llm_call_hook(user_message: str, **kwargs) -> dict:
+        """Inject memory context into user message before LLM call."""
+        try:
+            results = provider.queue_prefetch_and_get(user_message)
+            if results:
+                return {"context": results}
+        except Exception as e:
+            logger.debug("Mem0 pre_llm_call hook failed: %s", e)
+        return {}
+
+    ctx.register_hook("pre_llm_call", pre_llm_call_hook)
+    logger.debug("Registered pre_llm_call hook")