From 41b69d63a81fb41ca5cb5e86a15c658494d088d7 Mon Sep 17 00:00:00 2001
From: Google AI Agent <gemini@hermes.local>
Date: Wed, 8 Apr 2026 09:58:15 +0000
Subject: [PATCH 1/2] feat: add mempalace_tool

---
 tools/mempalace_tool.py | 133 ++++++++++++++++++++++++++++++++++++++++
 1 file changed, 133 insertions(+)
 create mode 100644 tools/mempalace_tool.py

diff --git a/tools/mempalace_tool.py b/tools/mempalace_tool.py
new file mode 100644
index 000000000..4220ed362
--- /dev/null
+++ b/tools/mempalace_tool.py
@@ -0,0 +1,133 @@
+"""
+mempalace_tool.py — Interface for the MemPalace vector memory system.
+
+This tool allows the agent to search and record memories in a ChromaDB-backed
+vector database via the fleet_api.
+"""
+
+import json
+import os
+import requests
+import logging
+from typing import Dict, Any, List, Optional
+from tools.registry import registry
+
+logger = logging.getLogger(__name__)
+
+# Default to the fleet_api port defined in the-nexus
+MEMPALACE_API_URL = os.environ.get("MEMPALACE_API_URL", "http://127.0.0.1:7771")
+
+def mempalace_tool(
+    action: str,
+    query: str = "",
+    text: str = "",
+    room: Optional[str] = None,
+    wing: Optional[str] = None,
+    n_results: int = 10,
+    metadata: Optional[Dict[str, Any]] = None,
+) -> str:
+    """
+    Interface for the MemPalace vector memory system.
+    
+    Actions:
+        search: Search the palace for relevant memories.
+        record: Add a new memory to the palace.
+        wings: List available wizard wings.
+    """
+    try:
+        if action == "search":
+            if not query:
+                return json.dumps({"success": False, "error": "Query is required for search."})
+            
+            params = {"q": query, "n": n_results}
+            if room:
+                params["room"] = room
+            
+            response = requests.get(f"{MEMPALACE_API_URL}/search", params=params, timeout=10)
+            response.raise_for_status()
+            return json.dumps({"success": True, "data": response.json()})
+
+        elif action == "record":
+            if not text:
+                return json.dumps({"success": False, "error": "Text is required for record."})
+            
+            payload = {
+                "text": text,
+                "room": room or "general",
+                "wing": wing,
+                "metadata": metadata or {}
+            }
+            
+            response = requests.post(f"{MEMPALACE_API_URL}/record", json=payload, timeout=10)
+            response.raise_for_status()
+            return json.dumps({"success": True, "data": response.json()})
+
+        elif action == "wings":
+            response = requests.get(f"{MEMPALACE_API_URL}/wings", timeout=10)
+            response.raise_for_status()
+            return json.dumps({"success": True, "data": response.json()})
+
+        else:
+            return json.dumps({"success": False, "error": f"Unknown action: {action}"})
+
+    except requests.exceptions.ConnectionError:
+        return json.dumps({
+            "success": False, 
+            "error": f"Could not connect to MemPalace API at {MEMPALACE_API_URL}. Ensure fleet_api.py is running."
+        })
+    except Exception as e:
+        logger.error(f"MemPalace tool error: {e}")
+        return json.dumps({"success": False, "error": str(e)})
+
+MEMPALACE_SCHEMA = {
+    "name": "mempalace",
+    "description": (
+        "Search or record memories in the MemPalace vector database. "
+        "Use this for long-term, high-volume memory that exceeds the curated memory limits. "
+        "The palace is organized into 'rooms' (e.g., forge, hermes, nexus, issues, experiments)."
+    ),
+    "parameters": {
+        "type": "object",
+        "properties": {
+            "action": {
+                "type": "string",
+                "enum": ["search", "record", "wings"],
+                "description": "The action to perform."
+            },
+            "query": {
+                "type": "string",
+                "description": "The search query (required for 'search')."
+            },
+            "text": {
+                "type": "string",
+                "description": "The memory text to record (required for 'record')."
+            },
+            "room": {
+                "type": "string",
+                "description": "Optional room filter or target room (e.g., forge, hermes, nexus, issues, experiments)."
+            },
+            "wing": {
+                "type": "string",
+                "description": "Optional wizard wing filter."
+            },
+            "n_results": {
+                "type": "integer",
+                "default": 10,
+                "description": "Maximum number of results to return."
+            },
+            "metadata": {
+                "type": "object",
+                "description": "Optional metadata for the memory (only for 'record')."
+            }
+        },
+        "required": ["action"]
+    }
+}
+
+registry.register(
+    name="mempalace",
+    toolset="mempalace",
+    schema=MEMPALACE_SCHEMA,
+    handler=lambda args, **kw: mempalace_tool(**args),
+    emoji="🏛️",
+)
-- 
2.43.0


From ec501b7d7b7efc64011936a1b8d53cf4a6050028 Mon Sep 17 00:00:00 2001
From: Google AI Agent <gemini@hermes.local>
Date: Wed, 8 Apr 2026 09:58:17 +0000
Subject: [PATCH 2/2] feat: register mempalace_tool in model_tools

---
 model_tools.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/model_tools.py b/model_tools.py
index c37007c41..aa03fbf55 100644
--- a/model_tools.py
+++ b/model_tools.py
@@ -158,6 +158,7 @@ def _discover_tools():
         "tools.send_message_tool",
         # "tools.honcho_tools",  # Removed — Honcho is now a memory provider plugin
         "tools.homeassistant_tool",
+        "tools.mempalace_tool",
     ]
     import importlib
     for mod_name in _modules:
-- 
2.43.0