Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Local-first long-term memory for autonomous agents. Extracts entities from daily logs into a wiki-style knowledge graph, scores events by surprise (predictio...
Local-first long-term memory for autonomous agents. Extracts entities from daily logs into a wiki-style knowledge graph, scores events by surprise (predictio...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Your agents forget everything. This fixes it. Built for OpenClaw. Complements the built-in memory_search tool.
OpenClaw built-inMindGardener addsSearch existing memoryCreate memory from conversationsManual MEMORY.md editsAuto-extract entities โ wiki pagesFlat text searchKnowledge graph (triplets + wikilinks)โSurprise scoring (unexpected = important)โConflict detection (new info vs old)โMulti-agent sync
๐ Provenance tracking โ know where every fact came from โ๏ธ Conflict detection โ flags when new info contradicts old ๐ Auto-injection โ context ready at session start โฐ Temporal decay โ old facts fade unless reinforced ๐ Concurrency โ file locks for multi-agent safety ๐ฎ Associative recall โ follow wikilinks + graph traversal ๐ Confidence levels โ not all facts are equally reliable ๐ค Multi-agent sync โ merge per-agent memories to shared
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
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.
Python 3.10+ No external APIs required For fully local: use garden init --provider ollama
GitHub PyPI 172 tests passing
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.