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mindgardener

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.

作者: admin | 来源: ClawHub
源自
ClawHub
版本
V 1.1.0
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已通过
681
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2
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概述
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版本历史

mindgardener

# 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 ```bash pip install mindgardener garden init ``` Add to your nightly cron: ```bash garden extract && garden surprise && garden consolidate ``` Add to session start (BOOTSTRAP.md or heartbeat): ```bash 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](https://github.com/widingmarcus-cyber/mindgardener) - [PyPI](https://pypi.org/project/mindgardener/) - 172 tests passing

标签

skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 mindgardener-1776420083 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 mindgardener-1776420083 技能

通过命令行安装

skillhub install mindgardener-1776420083

下载 Zip 包

⬇ 下载 mindgardener v1.1.0

文件大小: 94.97 KB | 发布时间: 2026-4-17 19:40

v1.1.0 最新 2026-4-17 19:40
v1.1.0: Built for OpenClaw. Provenance, conflicts, auto-inject, decay, multi-agent sync.

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