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MindGardener

Local-first long-term memory for autonomous agents. Extracts entities from daily logs into a wiki-style knowledge graph, scores events by surprise (predictio...

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Local-first long-term memory for autonomous agents. Extracts entities from daily logs into a wiki-style knowledge graph, scores events by surprise (predictio...

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
README.md, SKILL.md, docs/ARCHITECTURE.md, docs/RESEARCH.md, docs/state-tracker-integration.md, garden.yaml

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

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.

Upgrade existing

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.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.1.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 7 sections Open source page

MindGardener ๐ŸŒฑ

Your agents forget everything. This fixes it. Built for OpenClaw. Complements the built-in memory_search tool.

How It Complements OpenClaw

OpenClaw built-inMindGardener addsSearch existing memoryCreate memory from conversationsManual MEMORY.md editsAuto-extract entities โ†’ wiki pagesFlat text searchKnowledge graph (triplets + wikilinks)โ€”Surprise scoring (unexpected = important)โ€”Conflict detection (new info vs old)โ€”Multi-agent sync

Features (v1.1)

๐Ÿ” Provenance tracking โ€” know where every fact came from โš”๏ธ Conflict detection โ€” flags when new info contradicts old ๐Ÿš€ Auto-injection โ€” context ready at session start โฐ Temporal decay โ€” old facts fade unless reinforced ๐Ÿ”’ Concurrency โ€” file locks for multi-agent safety ๐Ÿ”ฎ Associative recall โ€” follow wikilinks + graph traversal ๐Ÿ“Š Confidence levels โ€” not all facts are equally reliable ๐Ÿค Multi-agent sync โ€” 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

GitHub PyPI 172 tests passing

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
5 Docs1 Config
  • SKILL.md Primary doc
  • docs/ARCHITECTURE.md Docs
  • docs/RESEARCH.md Docs
  • docs/state-tracker-integration.md Docs
  • README.md Docs
  • garden.yaml Config