| name | mindgardener |
| description | Local-first long-term memory for autonomous agents. Built for OpenClaw. Creates wiki knowledge graph from conversations, scores events by surprise, detects conflicts, and assembles token-budget context. Complements OpenClaw's built-in memory_search. |
| metadata | {"clawdbot":{"requires":{"bins":"[Truncated]"},"install":["[Truncated]"]}} |
MindGardener 🌱
Your agents forget everything. This fixes it.
Built for OpenClaw. Complements the built-in memory_search tool.
How It Complements OpenClaw
| OpenClaw built-in | MindGardener adds |
|---|
| Search existing memory | Create memory from conversations |
| Manual MEMORY.md edits | Auto-extract entities → wiki pages |
| Flat text search | Knowledge graph (triplets + wikilinks) |
| — | Surprise scoring (unexpected = important) |
| — | Conflict detection (new info vs old) |
| — | Multi-agent sync |
Features (v1.1)
- 🔍 Provenance tracking — know where every fact came from
- ⚔️ Conflict detection — flags when new info contradicts old
- 🚀 Auto-injection — context ready at session start
- ⏰ Temporal decay — old facts fade unless reinforced
- 🔒 Concurrency — file locks for multi-agent safety
- 🔮 Associative recall — follow wikilinks + graph traversal
- 📊 Confidence levels — not all facts are equally reliable
- 🤝 Multi-agent sync — merge per-agent memories to shared
Quick Start
pip install mindgardener
garden init
Add to your nightly cron:
garden extract && garden surprise && garden consolidate
Add to session start (BOOTSTRAP.md or heartbeat):
garden inject --output RECALL-CONTEXT.md
What Changes From Default OpenClaw?
- New folder:
memory/entities/ (wiki pages)
- New file:
graph.jsonl (knowledge triplets)
- New file:
RECALL-CONTEXT.md (auto-generated context)
- New file:
garden.yaml (configuration)
Everything is markdown files. No database. Works offline.
Requirements
- Python 3.10+
- No external APIs required
- For fully local: use
garden init --provider ollama
Links
