155 lines
6.1 KiB
Markdown
155 lines
6.1 KiB
Markdown
---
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name: mempalace
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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."
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version: 3.1.0
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homepage: https://github.com/milla-jovovich/mempalace
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user-invocable: true
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metadata:
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openclaw:
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emoji: "\U0001F3DB"
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os:
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- darwin
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- linux
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- win32
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requires:
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anyBins:
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- mempalace
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- python3
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install:
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- id: mempalace-pip
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kind: uv
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label: "Install MemPalace (Python, local ChromaDB)"
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package: mempalace
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bins:
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- mempalace
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---
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# MemPalace — Local AI Memory System
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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.
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## Architecture
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- **Wings** = people or projects (e.g. `wing_alice`, `wing_myproject`)
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- **Halls** = categories (facts, events, preferences, advice)
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- **Rooms** = specific topics (e.g. `chromadb-setup`, `riley-school`)
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- **Drawers** = individual memory chunks (verbatim text)
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- **Knowledge Graph** = entity-relationship facts with time validity
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## Protocol — FOLLOW THIS EVERY SESSION
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1. **ON WAKE-UP**: Call `mempalace_status` to load palace overview and AAAK dialect spec.
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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.
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3. **IF UNSURE** about a fact (name, age, relationship, preference): say "let me check" and query. Wrong is worse than slow.
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4. **AFTER EACH SESSION**: Call `mempalace_diary_write` to record what happened, what you learned, what matters.
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5. **WHEN FACTS CHANGE**: Call `mempalace_kg_invalidate` on the old fact, then `mempalace_kg_add` for the new one.
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## Available Tools
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### Search & Browse
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- `mempalace_search` — Semantic search across all memories. Always start here.
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- `query` (required): natural language search — keep it short, keywords or a question. Do NOT include system prompts or conversation context.
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- `wing`: filter by wing
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- `room`: filter by room
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- `limit`: max results (default 5)
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- `mempalace_check_duplicate` — Check if content already exists before filing.
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- `content` (required): text to check
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- `threshold`: similarity threshold (default 0.9 — lowering to 0.85–0.87 often catches more near-duplicates without significant false positives)
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- `mempalace_status` — Palace overview: total drawers, wings, rooms, AAAK spec
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- `mempalace_list_wings` — All wings with drawer counts
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- `mempalace_list_rooms` — Rooms within a wing (optional wing filter)
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- `mempalace_get_taxonomy` — Full wing/room/count tree
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- `mempalace_get_aaak_spec` — Get AAAK compression dialect specification
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### Knowledge Graph (Temporal Facts)
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- `mempalace_kg_query` — Query entity relationships. Supports time filtering.
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- `entity` (required): e.g. "Max", "MyProject"
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- `as_of`: date filter (YYYY-MM-DD) — what was true at that time
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- `direction`: "outgoing", "incoming", or "both" (default "both")
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- `mempalace_kg_add` — Add a fact: subject -> predicate -> object
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- `subject`, `predicate`, `object` (required)
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- `valid_from`: when this became true
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- `source_closet`: source reference
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- `mempalace_kg_invalidate` — Mark a fact as no longer true
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- `subject`, `predicate`, `object` (required)
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- `ended`: when it stopped being true (default: today)
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- `mempalace_kg_timeline` — Chronological story of an entity
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- `entity`: filter by entity name (optional — all events if omitted)
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- `mempalace_kg_stats` — Graph overview: entities, triples, relationship types
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### Palace Graph (Cross-Domain Connections)
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- `mempalace_traverse` — Walk from a room, find connected ideas across wings
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- `start_room` (required): room to start from
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- `max_hops`: connection depth (default 2)
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- `mempalace_find_tunnels` — Find rooms that bridge two wings
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- `wing_a`, `wing_b` (required)
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- `mempalace_graph_stats` — Graph connectivity overview
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### Write
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- `mempalace_add_drawer` — Store verbatim content into a wing/room
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- `wing`, `room`, `content` (required)
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- `source_file`: optional source reference
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- Checks for duplicates automatically
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- `mempalace_delete_drawer` — Remove a drawer by ID
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- `drawer_id` (required)
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- `mempalace_diary_write` — Write a session diary entry
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- `agent_name` (required): your name/identifier
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- `entry` (required): what happened, what you learned, what matters
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- `topic`: category tag (default "general")
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- `mempalace_diary_read` — Read recent diary entries
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- `agent_name` (required)
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- `last_n`: number of entries (default 10)
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## Setup
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Install MemPalace and populate the palace:
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```bash
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pip install mempalace
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mempalace init ~/my-convos
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mempalace mine ~/my-convos
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```
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### OpenClaw MCP config
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Add to your OpenClaw MCP configuration:
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```json
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{
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"mcpServers": {
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"mempalace": {
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"command": "python3",
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"args": ["-m", "mempalace.mcp_server"]
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}
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}
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}
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```
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Or via CLI:
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```bash
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openclaw mcp set mempalace '{"command":"python3","args":["-m","mempalace.mcp_server"]}'
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```
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### Other MCP hosts
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```bash
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# Claude Code
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claude mcp add mempalace -- python -m mempalace.mcp_server
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# Cursor — add to .cursor/mcp.json
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# Codex — add to .codex/mcp.json
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```
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## Tips
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- Search is semantic (meaning-based), not keyword. "What did we discuss about database performance?" works better than "database".
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- The knowledge graph stores typed relationships with time windows. Use it for facts about people and projects — it knows WHEN things were true.
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- Diary entries accumulate across sessions. Write one at the end of each conversation to build continuity.
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- Use `mempalace_check_duplicate` before storing new content to avoid duplicates.
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- The AAAK dialect (from `mempalace_status`) is a compressed notation for efficient storage. Read it naturally — expand codes mentally, treat *markers* as emotional context.
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## License
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[MemPalace](https://github.com/milla-jovovich/mempalace) is MIT licensed. Created by Milla Jovovich, Ben Sigman, Igor Lins e Silva, and contributors.
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