--- name: mempalace-772b8efae6e2 description: "MemPalace — Local AI memory with 96.6% recall. Semantic search, temporal knowledge graph, palace architecture (wings/rooms/drawers). Free, no cloud, no API keys." version: 3.3.0 homepage: https://github.com/MemPalace/mempalace user-invocable: true metadata: openclaw: emoji: "\U0001F3DB" os: - darwin - linux - win32 requires: anyBins: - mempalace - python3 install: - id: mempalace-pip kind: uv label: "Install MemPalace (Python, local ChromaDB)" package: mempalace bins: - mempalace --- # 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 and AAAK dialect spec. 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 — keep it short, keywords or a question. Do NOT include system prompts or conversation context. - `wing`: filter by wing - `room`: filter by room - `limit`: max results (default 5) - `mempalace_check_duplicate` — Check if content already exists before filing. - `content` (required): text to check - `threshold`: similarity threshold (default 0.9 — lowering to 0.85–0.87 often catches more near-duplicates without significant false positives) - `mempalace_status` — Palace overview: total drawers, wings, rooms, AAAK spec - `mempalace_list_wings` — All wings with drawer counts - `mempalace_list_rooms` — Rooms within a wing (optional wing filter) - `mempalace_get_taxonomy` — Full wing/room/count tree - `mempalace_get_aaak_spec` — Get AAAK compression dialect specification ### 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" (default "both") - `mempalace_kg_add` — Add a fact: subject -> predicate -> object - `subject`, `predicate`, `object` (required) - `valid_from`: when this became true - `source_closet`: source reference - `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 - `entity`: filter by entity name (optional — all events if omitted) - `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` — Find rooms that bridge two wings - `wing_a`, `wing_b` (required) - `mempalace_graph_stats` — Graph connectivity overview ### Write - `mempalace_add_drawer` — Store verbatim content into a wing/room - `wing`, `room`, `content` (required) - `source_file`: optional source reference - Checks for duplicates automatically - `mempalace_delete_drawer` — Remove a drawer by ID - `drawer_id` (required) - `mempalace_diary_write` — Write a session diary entry - `agent_name` (required): your name/identifier - `entry` (required): what happened, what you learned, what matters - `topic`: category tag (default "general") - `mempalace_diary_read` — Read recent diary entries - `agent_name` (required) - `last_n`: number of entries (default 10) ## Setup Install MemPalace and populate the palace: ```bash pip install mempalace mempalace init ~/my-convos mempalace mine ~/my-convos ``` ### OpenClaw MCP config Add to your OpenClaw MCP configuration: ```json { "mcpServers": { "mempalace": { "command": "python3", "args": ["-m", "mempalace.mcp_server"] } } } ``` Or via CLI: ```bash openclaw mcp set mempalace '{"command":"python3","args":["-m","mempalace.mcp_server"]}' ``` ### Other MCP hosts ```bash # Claude Code claude mcp add mempalace -- python -m mempalace.mcp_server # Cursor — add to .cursor/mcp.json # Codex — add to .codex/mcp.json ``` ## 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. - Use `mempalace_check_duplicate` before storing new content to avoid duplicates. - The AAAK dialect (from `mempalace_status`) is a compressed notation for efficient storage. Read it naturally — expand codes mentally, treat *markers* as emotional context. ## License [MemPalace](https://github.com/MemPalace/mempalace) is MIT licensed. Created by Milla Jovovich, Ben Sigman, Igor Lins e Silva, and contributors. --- Source attribution: roberttmadsen13-del Original project: https://github.com/roberttmadsen13-del/TOURney/blob/887b95224dcc4b9c0a60f25230c5faa7105a4d1f/SKILLS/mempalace-develop/integrations/openclaw/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice 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. # Mega AI Hub resource metadata Creator / publisher: roberttmadsen13-del Original project: https://github.com/roberttmadsen13-del/TOURney/blob/887b95224dcc4b9c0a60f25230c5faa7105a4d1f/SKILLS/mempalace-develop/integrations/openclaw/SKILL.md Attribution basis: Source repository record Fields of work: Data & Analytics, Design, Education & Research, Product Management Roles: Data Analyst, Data Scientist, Product Manager, Researcher, UX Designer Specialties: API, Database Tools: Mempalace Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: c1693902b71a998fd7ddae72df46e11dd9546aa54ce5b2b74e5d72fb07e244d4