mempalace

MemPalace — Local AI memory with 96.6% recall. Semantic search over past conversations, knowledge graph with temporal facts, palace architecture (wings/rooms...

Security Scan

The skill's declared purpose (local conversational memory) matches its instructions and requirements: it installs a local Python package, runs a local MCP server, and stores/indexes conversation data on the user's machine — no unexplained credentials or remote endpoints are requested.

Purpose & Capability

Name/description, required binaries (mempalace or python3), and the install spec (Python package 'mempalace') all align with a local-memory integration. There are no unrelated credentials or services requested.

Instruction Scope

SKILL.md instructs the agent to query and write verbatim conversation history and a knowledge graph, run a local MCP server (python -m mempalace.mcp_server), and initialize/mine a user-specified directory (~/my-convos). This is coherent with the stated purpose, but mining/indexing could capture any files the user points it at — the instructions rely on the user choosing the correct directory and do not explicitly warn about indexing sensitive system paths.

Install Mechanism

Install spec is a Python package ('mempalace') which matches the README examples (pip install mempalace). This is a standard install pattern, not a direct download from an untrusted URL. Verify the package source (PyPI/GitHub) and maintainers before installing.

Credentials

No environment variables, credentials, or unrelated config paths are requested. The skill requires only local filesystem access to the user's chosen palace directory and the ability to run a local MCP server — these are proportional to a local memory tool.

Persistence & Privilege

The skill writes persistent local data (drawers, diary entries, a knowledge graph) to disk and runs a persistent local service (MCP server) when configured. It does not request always:true or elevated platform-wide privileges, but persistent storage and a local server have privacy implications the user should consider.

Assessment

This skill appears internally consistent, but before installing you should: 1) confirm the 'mempalace' Python package and its authors (GitHub/PyPI) are trustworthy; 2) install in a controlled environment (virtualenv/container) and inspect the package source if possible; 3) choose and limit the directory you 'mine' so you don't accidentally index sensitive system or personal files; 4) avoid exposing the MCP server to untrusted networks (run it locally and restrict ports); 5) be aware the agent will store verbatim conversation text and diary entries on disk — treat that data as sensitive. If you want higher assurance, request the package's repository/tag/commit hash and a brief changelog before installing.

MemPalace — Local AI Memory System

You have access to a local memory palace via MCP tools. The palace stores verbatim conversation history and a temporal knowledge graph — all on the user's machine, zero cloud, zero API calls.

Architecture

• Wings = people or projects (e.g. wing_alice, wing_myproject)
• Halls = categories (facts, events, preferences, advice)
• Rooms = specific topics (e.g. chromadb-setup, riley-school)
• Drawers = individual memory chunks (verbatim text)
• Knowledge Graph = entity-relationship facts with time validity

Protocol — FOLLOW THIS EVERY SESSION

1. ON WAKE-UP: Call mempalace_status to load palace overview.
2. BEFORE RESPONDING about any person, project, or past event: call mempalace_search or mempalace_kg_query FIRST. Never guess from memory — verify from the palace.
3. IF UNSURE about a fact (name, age, relationship, preference): say "let me check" and query. Wrong is worse than slow.
4. AFTER EACH SESSION: Call mempalace_diary_write to record what happened, what you learned, what matters.
5. WHEN FACTS CHANGE: Call mempalace_kg_invalidate on the old fact, then mempalace_kg_add for the new one.

Available Tools

Search & Browse

• mempalace_search — Semantic search across all memories. Always start here.
  • query (required): natural language search
  • wing: filter by wing
  • room: filter by room
  • limit: max results (default 5)
• mempalace_status — Palace overview: total drawers, wings, rooms
• mempalace_list_wings — All wings with drawer counts
• mempalace_list_rooms — Rooms within a wing
• mempalace_get_taxonomy — Full wing/room/count tree

Knowledge Graph (Temporal Facts)

• mempalace_kg_query — Query entity relationships. Supports time filtering.
  • entity (required): e.g. "Max", "MyProject"
  • as_of: date filter (YYYY-MM-DD) — what was true at that time
  • direction: "outgoing", "incoming", or "both"
• mempalace_kg_add — Add a fact: subject -> predicate -> object
  • subject, predicate, object (required)
  • valid_from: when this became true
• mempalace_kg_invalidate — Mark a fact as no longer true
  • subject, predicate, object (required)
  • ended: when it stopped being true (default: today)
• mempalace_kg_timeline — Chronological story of an entity
• mempalace_kg_stats — Graph overview: entities, triples, relationship types

Palace Graph (Cross-Domain Connections)

• mempalace_traverse — Walk from a room, find connected ideas across wings
  • start_room (required): room to start from
  • max_hops: connection depth (default 2)
• mempalace_find_tunnels — Rooms that bridge two wings
• mempalace_graph_stats — Graph connectivity overview

Write

• mempalace_add_drawer — Store verbatim content into a wing/room
  • wing, room, content (required)
  • Checks for duplicates automatically
• mempalace_delete_drawer — Remove a drawer by ID
• mempalace_diary_write — Write a session diary entry
  • agent_name (required): your name
  • entry (required): what happened, what you learned
  • topic: category tag
• mempalace_diary_read — Read recent diary entries

Setup

The user needs to initialize and populate the palace first:

pip install mempalace
mempalace init ~/my-convos
mempalace mine ~/my-convos

Then connect via MCP (for Claude Code, Cursor, etc.):

claude mcp add mempalace -- python -m mempalace.mcp_server

For OpenClaw, add to your MCP config:

{
  "mcpServers": {
    "mempalace": {
      "command": "python3",
      "args": ["-m", "mempalace.mcp_server"]
    }
  }
}

Tips

• Search is semantic (meaning-based), not keyword. "What did we discuss about database performance?" works better than "database".
• The knowledge graph stores typed relationships with time windows. Use it for facts about people and projects — it knows WHEN things were true.
• Diary entries accumulate across sessions. Write one at the end of each conversation to build continuity.
• Wings auto-detect from directory names during mining. You can also create custom wings via mempalace_add_drawer.

License & Attribution

This skill is an integration for MemPalace, created by Ben Sigman (@bensig), Igor Lins e Silva (@igorls), Milla Jovovich (@milla-jovovich), and adv3nt3 (@adv3nt3), licensed under the MIT License.

MIT License

Copyright (c) 2026 MemPalace Contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.