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Agent Skill · 研究检索

agent-memory-graph(Agent 内存图)

agent-memory-graph 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。

agent-memory-graph 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为操作浏览器;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 15,105。

总安装 8,078周安装 330GitHub Stars 公开资料未说明下载 2,587核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:agent-memory-graph(Agent 内存图)
来源仓库:https://github.com/afgonullu/agent-memory-graph
安装命令:
openclaw skills install agent-memory-graph
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 agent-memory-graph

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

与代理无关的个人知识图存储为带有 YAML frontmatter 的 markdown 文件。当您需要有关用户生活、项目等的持久上下文时使用

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install agent-memory-graph;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

agent-memory-graph 怎么安装?

在终端执行 openclaw skills install agent-memory-graph。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

agent-memory-graph 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

agent-memory-graph 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

agent-memory-graph 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

agent-memory-graph 用的人多吗?

公开数据是累计安装 8,078 次,近一周安装 330 次,下载 2,587 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

agent-memory-graph 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
agent-memory-graph

Agent 内存图 · 本页

8,078—操作浏览器MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
memory-graph
description
Agent-agnostic personal knowledge graph stored as markdown files with YAML frontmatter. Use when you need persistent context about the user's life, projects, tools, people, concepts, or decisions — especially across agent resets or switches. Also use when logging significant activity, searching for context before starting work, creating knowledge nodes for new topics, discovering connections between existing nodes (backfill), or rebuilding indexes. Triggers include needing user context, logging work, "remember this", "what do I know about X", creating/updating knowledge entries, and periodic memory maintenance.

Memory Graph

A file-based personal knowledge graph at ~/memory/. Any agent can read/write. Human-browsable.

Structure

~/memory/
├── README.md              # full architecture doc
├── graph/                 # knowledge nodes
│   ├── people/
│   ├── projects/
│   ├── concepts/
│   ├── places/
│   ├── tools/
│   └── <any-category>/    # extend freely
├── log/                   # daily activity logs
│   └── YYYY-MM-DD.md
├── indexes/               # computed — NEVER edit directly
│   ├── memory.db          # SQLite (primary index, FTS5 search)
│   └── graph.html         # interactive graph visualization
├── backfill/              # connection discovery
│   ├── suggestions.md
│   └── history.md
└── scripts/               # symlinks → skill's scripts/ directory
    ├── rebuild-indexes.js  # full or incremental index rebuild
    ├── suggest-backfill.js # scoped connection discovery (+ QMD semantic)
    ├── query.js            # CLI structural query tool
    ├── briefing.js         # context assembly for agents
    ├── lint.js             # graph validation and health checks
    ├── visualize.js        # D3.js graph visualization generator
    ├── commit.js           # git auto-commit for graph/log changes
    └── promote.js          # log-to-node promotion suggestions

Script location: Scripts live in the skill directory (scripts/). ~/memory/scripts/ contains symlinks to them. All scripts support MEMORY_ROOT env var (defaults to ~/memory) so they resolve paths correctly regardless of where they're installed.

Setup

If ~/memory/ does not exist, read references/setup.md and follow the scaffolding steps. This creates the folder structure, symlinks scripts, seeds initial nodes, and builds indexes.

If ~/memory/ already exists, proceed to Operations below.

Node Format

Every node is a markdown file with YAML frontmatter:

---
type: project
created: 2026-03-20
updated: 2026-03-20
tags: [side-project, saas]
status: active
relations:
  - { to: people/someone, type: owner }
  - { to: tools/nextjs, type: built-with }
---

# Title

Free-form body.

## Changelog

- 2026-03-20: Created node

Required Fields

  • type — matches parent folder name
  • created — ISO date

Recommended Fields

  • updated — ISO date, last time node content was meaningfully changed. Used for staleness tracking.

Optional Fields

  • tags — flat list for categorization
  • status — active, archived, idea, done, etc.
  • relations — list of { to, type } objects. to is relative path within graph/ (no .md). type is any string.
  • Add any other fields freely — unknown fields are preserved

Relation Type Taxonomy

Suggested standard types (non-standard types trigger info-level lint warnings):

  • Structural: uses, built-with, part-of, contains
  • Ownership: creator, owner, maintainer
  • Conceptual: related-to, inspired-by, alternative-to, core-concept-of, core-value-of
  • Temporal: led-to, preceded-by, evolved-into
  • Contextual: home-of, lives-in, works-at

Bidirectionality

Write a relation on one side only. The index script computes the reverse.

Changelog Convention

Nodes can have a ## Changelog section at the bottom of the body. Format:

- YYYY-MM-DD: description of what changed

Node Templates

Templates for common node types are in the skill's templates/ directory:

  • person.md, project.md, tool.md, concept.md, place.md

Use these as starting points when creating new nodes. Copy and edit — don't modify the templates themselves.

Operations

1. Read for Context (Session Start)

# Check recent activity
cat ~/memory/log/$(date +%Y-%m-%d).md

# Context briefing for a node (full content + relations + recent logs)
node ~/memory/scripts/briefing.js --node projects/flowmind

# Topic briefing (search-based)
node ~/memory/scripts/briefing.js --topic "immutability"

# Semantic search (if QMD is installed — best for natural language queries)
qmd vsearch "trust and data integrity"     # vector similarity
qmd query "what connects X and Y"          # hybrid + reranking

# Structural search
node ~/memory/scripts/query.js --search "keyword"

# Node details with all relations
node ~/memory/scripts/query.js --node projects/flowmind

# All nodes related to something
node ~/memory/scripts/query.js --related-to people/abdullah

# Filter by type and status
node ~/memory/scripts/query.js --type project --status active

# Browse by tag
node ~/memory/scripts/query.js --tag side-project

# Recently modified nodes
node ~/memory/scripts/query.js --recent 7

# Stale nodes (not updated in N days)
node ~/memory/scripts/query.js --stale 30

# Graph overview
node ~/memory/scripts/query.js --stats

2. Create a Node

  1. Check if node already exists: ls ~/memory/graph/<category>/
  2. Copy a template from the skill's templates/ directory to ~/memory/graph/<category>/<name>.md
  3. Fill in frontmatter + body (set created and updated to today)
  4. Scan existing nodes for potential relations (shared tags, mentions)
  5. Add discovered relations with type: suggested if uncertain
  6. Log the creation in today's activity log
  7. Rebuild indexes: node ~/memory/scripts/rebuild-indexes.js --incremental
  8. If QMD is installed: qmd update && qmd embed (refreshes semantic search)

3. Update a Node

  1. Read the current node
  2. Update frontmatter and/or body
  3. Update the updated field to today's date
  4. Add entry to ## Changelog section if significant
  5. Log the update
  6. Rebuild indexes: node ~/memory/scripts/rebuild-indexes.js --incremental

4. Log Activity

Append to ~/memory/log/YYYY-MM-DD.md (create if needed):

- **HH:MM** [agent-name] Description {ref: path/to/node, path/to/other}

{ref: ...} references are backfill signals — they hint at connections between nodes.

5. Backfill (Discover Missing Connections)

# Rebuild indexes first (if not recently done)
node ~/memory/scripts/rebuild-indexes.js --incremental

# Generate suggestions (scoped — uses tags, FTS, log co-refs, + QMD semantic)
node ~/memory/scripts/suggest-backfill.js                                  # all nodes
node ~/memory/scripts/suggest-backfill.js --scope recent                   # last 7 days only
node ~/memory/scripts/suggest-backfill.js --scope node:projects/flowmind   # specific node
node ~/memory/scripts/suggest-backfill.js --no-qmd                         # skip semantic search

# Rebuild with automatic scoped backfill on changed nodes
node ~/memory/scripts/rebuild-indexes.js --incremental --with-backfill

Review ~/memory/backfill/suggestions.md. Accept by adding the relation to the node's frontmatter. Reject by logging in backfill/history.md.

6. Lint (Validate Graph Health)

node ~/memory/scripts/lint.js            # check for issues
node ~/memory/scripts/lint.js --fix      # auto-fix (adds missing updated fields)

Checks: missing required fields, broken relations, orphan nodes, duplicate titles, non-standard relation types.

7. Visualize

node ~/memory/scripts/visualize.js       # generates ~/memory/indexes/graph.html
open ~/memory/indexes/graph.html         # view in browser

Interactive D3.js force-directed graph. Nodes colored by type, sized by connections. Click for details.

8. Git Backing

node ~/memory/scripts/commit.js                        # auto-commit graph/ and log/ changes
node ~/memory/scripts/commit.js --message "custom msg"  # with custom message

Stages graph/, log/, backfill/history.md, and README.md changes, commits with descriptive message. Does NOT auto-push.

9. Log Promotion

node ~/memory/scripts/promote.js           # find recurring topics without nodes
node ~/memory/scripts/promote.js --min 5   # raise mention threshold
node ~/memory/scripts/promote.js --days 30 # only recent logs

Scans logs for entities mentioned 3+ times without existing nodes. Suggests node creation.

10. Add a New Category

Create a folder under graph/. No config changes. Indexes adapt on rebuild.

Rules

  1. Read before writing. Check if a node exists before creating a duplicate.
  2. Log significant work. Append to log/YYYY-MM-DD.md when you do something significant.
  3. Use refs in logs. If your work touches existing concepts/projects, add {ref: ...}.
  4. Scan for connections. When creating a node, check for related nodes (shared tags, mentions).
  5. Never edit indexes/. Run the rebuild script instead.
  6. Add fields freely. If a node needs a field that doesn't exist yet, just add it.
  7. Add categories freely. Need graph/recipes/? Create the folder. No config changes.
  8. Preserve unknown fields. If a node has fields you don't recognize, leave them.
  9. Use suggested type for uncertain relations. Let a human or another agent confirm.
  10. One-side relations only. Write on whichever node feels natural. Index computes the reverse.
  11. Keep the body useful. Frontmatter is for machines. The markdown body is for humans.
  12. Set updated on changes. Keep the updated field current for temporal tracking.
  13. Use standard relation types. Prefer the taxonomy above. Run lint.js to check.

平台分布

OpenClaw

80.34%
按下载量换算2,078

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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