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memory-garden记忆花园

Agent Skill

memory-garden 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

8,454

周安装

342

GitHub Stars

公开资料未说明

下载量

2,654
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:memory-garden(记忆花园)
来源仓库:https://github.com/leegitw/memory-garden
安装命令:
openclaw skills install memory-garden
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install memory-garden

简介

memory-garden 提供 N 计数验证的知识体系,支持模式复用与本地优先部署。

  • 适用于 OpenClaw 中强调可靠性和可重复使用的记忆系统场景。
  • 通过 clawhub 安装后,可直接调用已验证的知识模块。
  • 安装命令:openclaw skills install memory-garden;需确认社区就绪状态与更新频率。
  • 建议评估其与现有记忆架构的集成复杂度。

SKILL.md

name
memory-garden
version
1.0.0
description
N-count validated knowledge for AI agents. Patterns that prove themselves through repeated use. Local-first, community-ready.
homepage
https://github.com/live-neon/memory-garden
repository
live-neon/memory-garden
tags
disable-model-invocation
false
user-invocable
true
metadata
{"openclaw":{"requires":{"bins":["mg-daemon"]},"install":[ {"kind":"download","os":["darwin"],"arch":"arm64","url":"https://github.com/live-neon/memory-garden/releases/download/v1.0.0/mg-daemon-darwin-arm64","sha256":"02661482d766b504d0558b190a0e65d7dc569e9ebd0a5e7d71aaf3fce53a2962","bins":["mg-daemon"],"label":"Memory Garden daemon (macOS)"}, {"kind":"download","os":["linux"],"arch":"amd64","url":"https://github.com/live-neon/memory-garden/releases/download/v1.0.0/mg-daemon-linux-amd64","sha256":"e7857b34bef436ab434d5244a6d5f3dd95883dcd47f700c3053a2854836cf4f2","bins":["mg-daemon"],"label":"Memory Garden daemon (Linux)"}]}}

Memory Garden

Stop answering the same questions twice.

Memory Garden learns what works in your domain and brings validated knowledge to every conversation. Unlike simple memory tools, patterns here must *prove themselves* through repeated successful use (N-count convergence).

Community-validated. Local-first. You control what stays.

Why Memory Garden?

ProblemSolution
AI forgets what worked yesterdayPatterns persist and surface when relevant
No way to know if advice is reliableN-count shows how many times a pattern proved useful
Memory silos per projectFederated curation lets you subscribe to trusted sources
Privacy concerns with cloud memoryLocal-first: nothing leaves your machine unless you opt-in

Features

FeatureDefaultDescription
SearchONAugment queries with validated patterns
ExtractionOFFExtract patterns from conversations (opt-in)
ValidationONRecord when patterns help (increments N-count)
SyncOFFP2P pattern synchronization (opt-in)

How N-Count Works

N=1: Pattern recorded (observation)
N=2: Pattern confirmed (recurring)
N=3+: Pattern validated (reliable knowledge)

Higher N-count = more trustworthy. Patterns that keep helping rise to the top.

Quick Start

The skill automatically manages the Memory Garden daemon:

  • Starts daemon if not running
  • Uses port 18790 (or next available)
  • Health checks at /health
# Verify installation
clawhub inspect memory-garden

# Check daemon status
curl http://127.0.0.1:18790/health

Configuration

Set via environment variables:

VariableDefaultDescription
MG_DAEMON_URLhttp://127.0.0.1:18790Daemon URL (if external)
MG_EXTRACTION_ENABLEDfalseEnable pattern extraction
MG_EXTRACTION_CONFIRMtrueRequire human confirmation
MG_SYNC_ENABLEDfalseEnable P2P sync
MG_SEARCH_LIMIT8Default search result limit

Platform Support

PlatformStatusNotes
macOS Apple Silicon✅ Supportedarm64
macOS Intel✅ Supportedamd64
Linux x86_64 (glibc)✅ Supportedamd64, requires glibc 2.31+ (Ubuntu 20.04+, Debian 11+)
Linux ARM64❌ Not supportedlibSQL limitation - vote for ARM64 support
Windows⚠️ WSL2 requiredNative Windows not supported
Alpine/musl❌ Not supportedRequires glibc (libSQL dependency)

Data Handling

Your patterns are your intellectual property. Local-first means your learning stays yours until you choose to share.

  • Patterns stored locally in ~/.memory-garden/
  • No data sent externally unless sync explicitly enabled
  • Extraction requires opt-in (MG_EXTRACTION_ENABLED=true)
  • All operations logged to ~/.memory-garden/logs/

Security

  • Daemon listens on localhost only (127.0.0.1)
  • No outbound network by default
  • Trust-gated tool access
  • HMAC-SHA256 webhook verification (for CI integration)
  • MIT License

Tools

ToolDescriptionDefault
search_patternsFind validated patterns for your queryEnabled
plant_patternRecord a new observationRequires extraction
validate_patternConfirm a pattern helped (increments N-count)Enabled
get_category_effectivenessView fix success rates by categoryEnabled

Integrations

Continuous AI Improver

Track which fix patterns actually get merged:

# Enable webhook endpoint
MG_WEBHOOK_ENABLED=true mg-daemon --serve

# Configure GitHub webhook to POST to /webhooks/github

See Continuous Improver Guide

Troubleshooting

Daemon won't start

  1. Check if another instance is running: lsof -i :18790
  2. Check logs: ~/.memory-garden/logs/daemon.log
  3. Try manual start: mg-daemon --serve --addr 127.0.0.1:18790

Health check fails

  1. Verify daemon is running: curl http://127.0.0.1:18790/health
  2. Check port availability
  3. Review daemon logs

Need help?

Open an issue: https://github.com/live-neon/memory-garden/issues

Learn More

适合场景

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OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

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能力 3

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能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

74.98%
按下载量换算1,990

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可疑

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敏感数据

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安装前确认

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来源信息

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