feat(honcho): add honcho_conclude tool for writing facts back to memory

New tool lets Hermes persist conclusions about the user (preferences,
corrections, project context) directly to Honcho via the conclusions
API. Feeds into the user's peer card and representation.

honcho_integration/session.py

@@ -805,6 +805,41 @@ class HonchoSessionManager:
             logger.debug("Honcho search_context failed: %s", e)
             return ""
 
+    def create_conclusion(self, session_key: str, content: str) -> bool:
+        """Write a conclusion about the user back to Honcho.
+
+        Conclusions are facts the AI peer observes about the user —
+        preferences, corrections, clarifications, project context.
+        They feed into the user's peer card and representation.
+
+        Args:
+            session_key: Session to associate the conclusion with.
+            content: The conclusion text (e.g. "User prefers dark mode").
+
+        Returns:
+            True on success, False on failure.
+        """
+        if not content or not content.strip():
+            return False
+
+        session = self._cache.get(session_key)
+        if not session:
+            logger.warning("No session cached for '%s', skipping conclusion", session_key)
+            return False
+
+        assistant_peer = self._get_or_create_peer(session.assistant_peer_id)
+        try:
+            conclusions_scope = assistant_peer.conclusions_of(session.user_peer_id)
+            conclusions_scope.create([{
+                "content": content.strip(),
+                "session_id": session.honcho_session_id,
+            }])
+            logger.info("Created conclusion for %s: %s", session_key, content[:80])
+            return True
+        except Exception as e:
+            logger.error("Failed to create conclusion: %s", e)
+            return False
+
     def seed_ai_identity(self, session_key: str, content: str, source: str = "manual") -> bool:
         """
         Seed the AI peer's Honcho representation from text content.