feat: explicit cross-wing tunnels for multi-project agents

Adds active tunnel creation alongside passive tunnel discovery.

Passive tunnels (existing): rooms with the same name across wings.
Explicit tunnels (new): agent-created links between specific
locations. "This API design in project_api relates to the database
schema in project_database."

New functions in palace_graph.py:
- create_tunnel() — link two wing/room pairs with a label
- list_tunnels() — list all explicit tunnels, filter by wing
- delete_tunnel() — remove a tunnel by ID
- follow_tunnels() — from a room, find all connected rooms in
  other wings with drawer content previews

New MCP tools:
- mempalace_create_tunnel
- mempalace_list_tunnels
- mempalace_delete_tunnel
- mempalace_follow_tunnels

Tunnels stored in ~/.mempalace/tunnels.json (persists across
palace rebuilds). Deduplicated by endpoint pair.

689/689 tests pass.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
MSL
2026-04-13 02:05:55 -07:00
committed by Igor Lins e Silva
parent f72ffbbcb2
commit 1b4ce0b1f8
2 changed files with 270 additions and 1 deletions
+108 -1
View File
@@ -35,7 +35,7 @@ from .version import __version__
import chromadb
from .query_sanitizer import sanitize_query
from .searcher import search_memories
from .palace_graph import traverse, find_tunnels, graph_stats
from .palace_graph import traverse, find_tunnels, graph_stats, create_tunnel, list_tunnels, delete_tunnel, follow_tunnels
from .knowledge_graph import KnowledgeGraph
@@ -496,6 +496,63 @@ def tool_graph_stats():
return graph_stats(col=col)
def tool_create_tunnel(
source_wing: str,
source_room: str,
target_wing: str,
target_room: str,
label: str = "",
source_drawer_id: str = None,
target_drawer_id: str = None,
):
"""Create an explicit cross-wing tunnel between two palace locations.
Use when you notice content in one project relates to another project.
Example: an API design discussion in project_api connects to the
database schema in project_database.
"""
try:
source_wing = sanitize_name(source_wing, "source_wing")
source_room = sanitize_name(source_room, "source_room")
target_wing = sanitize_name(target_wing, "target_wing")
target_room = sanitize_name(target_room, "target_room")
except ValueError as e:
return {"error": str(e)}
return create_tunnel(
source_wing, source_room, target_wing, target_room,
label=label,
source_drawer_id=source_drawer_id,
target_drawer_id=target_drawer_id,
)
def tool_list_tunnels(wing: str = None):
"""List all explicit cross-wing tunnels, optionally filtered by wing."""
try:
wing = _sanitize_optional_name(wing, "wing")
except ValueError as e:
return {"error": str(e)}
return list_tunnels(wing)
def tool_delete_tunnel(tunnel_id: str):
"""Delete an explicit tunnel by its ID."""
if not tunnel_id or not isinstance(tunnel_id, str):
return {"error": "tunnel_id is required"}
return delete_tunnel(tunnel_id)
def tool_follow_tunnels(wing: str, room: str):
"""Follow explicit tunnels from a room to see connected drawers in other wings."""
try:
wing = sanitize_name(wing, "wing")
room = sanitize_name(room, "room")
except ValueError as e:
return {"error": str(e)}
col = _get_collection()
return follow_tunnels(wing, room, col=col)
# ==================== WRITE TOOLS ====================
@@ -1181,6 +1238,56 @@ TOOLS = {
"input_schema": {"type": "object", "properties": {}},
"handler": tool_graph_stats,
},
"mempalace_create_tunnel": {
"description": "Create a cross-wing tunnel linking two palace locations. Use when content in one project relates to another — e.g., an API design in project_api connects to a database schema in project_database.",
"input_schema": {
"type": "object",
"properties": {
"source_wing": {"type": "string", "description": "Wing of the source"},
"source_room": {"type": "string", "description": "Room in the source wing"},
"target_wing": {"type": "string", "description": "Wing of the target"},
"target_room": {"type": "string", "description": "Room in the target wing"},
"label": {"type": "string", "description": "Description of the connection"},
"source_drawer_id": {"type": "string", "description": "Optional specific drawer ID"},
"target_drawer_id": {"type": "string", "description": "Optional specific drawer ID"},
},
"required": ["source_wing", "source_room", "target_wing", "target_room"],
},
"handler": tool_create_tunnel,
},
"mempalace_list_tunnels": {
"description": "List all explicit cross-wing tunnels. Optionally filter by wing.",
"input_schema": {
"type": "object",
"properties": {
"wing": {"type": "string", "description": "Filter tunnels by wing (shows tunnels where wing is source or target)"},
},
},
"handler": tool_list_tunnels,
},
"mempalace_delete_tunnel": {
"description": "Delete an explicit tunnel by its ID.",
"input_schema": {
"type": "object",
"properties": {
"tunnel_id": {"type": "string", "description": "Tunnel ID to delete"},
},
"required": ["tunnel_id"],
},
"handler": tool_delete_tunnel,
},
"mempalace_follow_tunnels": {
"description": "Follow tunnels from a room to see what it connects to in other wings. Returns connected rooms with drawer previews.",
"input_schema": {
"type": "object",
"properties": {
"wing": {"type": "string", "description": "Wing to start from"},
"room": {"type": "string", "description": "Room to follow tunnels from"},
},
"required": ["wing", "room"],
},
"handler": tool_follow_tunnels,
},
"mempalace_search": {
"description": "Semantic search. Returns verbatim drawer content with similarity scores. IMPORTANT: 'query' must contain ONLY search keywords. Use 'context' for background. Results with cosine distance > max_distance are filtered out.",
"input_schema": {
+162
View File
@@ -15,7 +15,11 @@ Enables queries like:
No external graph DB needed — built from ChromaDB metadata.
"""
import hashlib
import json
import os
from collections import defaultdict, Counter
from datetime import datetime
from .config import MempalaceConfig
from .palace import get_collection as _get_palace_collection
@@ -228,3 +232,161 @@ def _fuzzy_match(query: str, nodes: dict, n: int = 5):
scored.append((room, 0.5))
scored.sort(key=lambda x: -x[1])
return [r for r, _ in scored[:n]]
# =============================================================================
# EXPLICIT TUNNELS — agent-created cross-wing links
# =============================================================================
# Passive tunnels are discovered from shared room names across wings.
# Explicit tunnels are created by agents when they notice a connection
# between two specific drawers or rooms in different wings/projects.
#
# Stored as a JSON file at ~/.mempalace/tunnels.json so they persist
# across palace rebuilds (not in ChromaDB which can be recreated).
_TUNNEL_FILE = os.path.join(os.path.expanduser("~"), ".mempalace", "tunnels.json")
def _load_tunnels():
"""Load explicit tunnels from disk."""
if os.path.exists(_TUNNEL_FILE):
try:
return json.loads(open(_TUNNEL_FILE).read())
except Exception:
pass
return []
def _save_tunnels(tunnels):
"""Save explicit tunnels to disk."""
os.makedirs(os.path.dirname(_TUNNEL_FILE), exist_ok=True)
with open(_TUNNEL_FILE, "w") as f:
json.dump(tunnels, f, indent=2)
def create_tunnel(
source_wing: str,
source_room: str,
target_wing: str,
target_room: str,
label: str = "",
source_drawer_id: str = None,
target_drawer_id: str = None,
):
"""Create an explicit tunnel between two locations in the palace.
Use when an agent notices a connection between two projects/wings
that wouldn't be found by passive room-name matching.
Args:
source_wing: Wing of the source (e.g., "project_api")
source_room: Room in the source wing
target_wing: Wing of the target (e.g., "project_database")
target_room: Room in the target wing
label: Description of the connection
source_drawer_id: Optional specific drawer ID
target_drawer_id: Optional specific drawer ID
Returns:
The created tunnel dict.
"""
tunnel_id = hashlib.sha256(
f"{source_wing}/{source_room}{target_wing}/{target_room}".encode()
).hexdigest()[:16]
tunnel = {
"id": tunnel_id,
"source": {"wing": source_wing, "room": source_room},
"target": {"wing": target_wing, "room": target_room},
"label": label,
"created_at": datetime.now().isoformat(),
}
if source_drawer_id:
tunnel["source"]["drawer_id"] = source_drawer_id
if target_drawer_id:
tunnel["target"]["drawer_id"] = target_drawer_id
tunnels = _load_tunnels()
# Dedup — don't create if same endpoints already linked
for existing in tunnels:
if existing.get("id") == tunnel_id:
existing.update(tunnel) # update label/drawers
_save_tunnels(tunnels)
return existing
tunnels.append(tunnel)
_save_tunnels(tunnels)
return tunnel
def list_tunnels(wing: str = None):
"""List all explicit tunnels, optionally filtered by wing.
Returns tunnels where the wing appears as either source or target.
"""
tunnels = _load_tunnels()
if wing:
tunnels = [
t for t in tunnels
if t["source"]["wing"] == wing or t["target"]["wing"] == wing
]
return tunnels
def delete_tunnel(tunnel_id: str):
"""Delete an explicit tunnel by ID."""
tunnels = _load_tunnels()
tunnels = [t for t in tunnels if t.get("id") != tunnel_id]
_save_tunnels(tunnels)
return {"deleted": tunnel_id}
def follow_tunnels(wing: str, room: str, col=None, config=None):
"""Follow explicit tunnels from a room — returns connected drawers.
Given a location (wing/room), finds all tunnels leading from or to it,
and optionally fetches the connected drawer content.
"""
tunnels = _load_tunnels()
connections = []
for t in tunnels:
src = t["source"]
tgt = t["target"]
if src["wing"] == wing and src["room"] == room:
connections.append({
"direction": "outgoing",
"connected_wing": tgt["wing"],
"connected_room": tgt["room"],
"label": t.get("label", ""),
"drawer_id": tgt.get("drawer_id"),
"tunnel_id": t["id"],
})
elif tgt["wing"] == wing and tgt["room"] == room:
connections.append({
"direction": "incoming",
"connected_wing": src["wing"],
"connected_room": src["room"],
"label": t.get("label", ""),
"drawer_id": src.get("drawer_id"),
"tunnel_id": t["id"],
})
# If we have a collection, fetch drawer content for connected items
if col and connections:
drawer_ids = [c["drawer_id"] for c in connections if c.get("drawer_id")]
if drawer_ids:
try:
results = col.get(ids=drawer_ids, include=["documents", "metadatas"])
drawer_map = dict(zip(results["ids"], results["documents"]))
for c in connections:
did = c.get("drawer_id")
if did and did in drawer_map:
c["drawer_preview"] = drawer_map[did][:300]
except Exception:
pass
return connections