MindClaw

# MindClaw

> Persistent memory and knowledge graph for AI agents. Remember everything, forget nothing.

MindClaw is a **structured long-term knowledge layer** for OpenClaw agents. Where OpenClaw stores raw conversational memory in Markdown files, MindClaw stores *curated facts, decisions, and relationships* with full metadata — conflict detection, confirmation reinforcement, importance scoring, and a knowledge graph.

Memories sync back to OpenClaw's `MEMORY.md` so they are also searchable via OpenClaw's native `memory_search` tool.

Install

pip install mindclaw[mcp] && mindclaw setup

The `setup` wizard configures your workspace path, agent name, and registers MindClaw with Claude Desktop and/or OpenClaw in one step.

What agents can do

| MCP Tool | Purpose |

|---|---|

| `setup_mindclaw` | One-call setup: configure, register with OpenClaw, initial sync |

| `remember` | Store a fact, decision, preference, or error with metadata |

| `recall` | BM25 + semantic hybrid search with temporal decay and MMR diversity |

| `context_block` | Token-limited memory block ready to inject into any LLM prompt |

| `capture` | Auto-extract structured memories from conversation text |

| `confirm` | Reinforce a memory that proved correct (boosts importance) |

| `forget` | Archive or hard-delete a memory |

| `pin_memory` | Mark a memory as permanent — immune to decay |

| `timeline` | Reconstruct what happened in the last N hours |

| `consolidate` | Merge near-duplicate memories automatically |

| `link` | Connect two memories in the knowledge graph |

| `stats` | Check store health and memory breakdown |

| `sync_openclaw` | Export all memories to OpenClaw's MEMORY.md |

| `import_markdown` | Import from any OpenClaw MEMORY.md or daily log |

| `unpin_memory` | Remove a pin from a memory |

OpenClaw integration

MindClaw mirrors OpenClaw's search pipeline exactly:

| Feature | OpenClaw | MindClaw |

|---|---|---|

| BM25 keyword search | ✓ | ✓ |

| Semantic embeddings | local GGUF / OpenAI / Gemini | Ollama (auto-detect, zero deps) |

| Temporal decay | `--temporalDecay` | `--decay` + `--halflife` |

| MMR diversity | `mmr.enabled` | `--mmr` + `--mmr-lambda` |

| Per-agent isolation | per-agentId SQLite | `--agent <name>` |

After `mindclaw sync`, all structured memories appear in `MEMORY.md` and are found by OpenClaw's native `memory_search` — no agent code changes needed.

Recommended agent loop

1. context_block(query)   → inject relevant context before answering
2. remember(content)      → store key facts and decisions after acting
3. capture(conversation)  → extract structured memories from session logs
4. confirm(id)            → reinforce memories that proved correct
5. sync_openclaw()        → push to OpenClaw's MEMORY.md (cross-tool visibility)
6. consolidate()          → periodic dedup maintenance

Configuration

Run once, never repeat flags:

mindclaw setup

Saves `~/.mindclaw/config.json` with your workspace path, agent name, and DB path.

Priority chain: `CLI flag > MINDCLAW_* env var > config file > built-in default`

Requirements

Source

GitHub: https://github.com/Blue8x/MindClaw