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Agent Skill · 研究检索

agentos(agentos 搜索)

agentos 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。

agentos 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;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 2,120。

总安装 67,638周安装 2,763GitHub Stars 公开资料未说明下载 21,662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
1.4.4

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:agentos(agentos 搜索)
来源仓库:https://github.com/agentossoftware/agentos
安装命令:
openclaw skills install agentos
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 agentos

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。

适用于 Clawdbot 的 AgentOS SDK 通过强制心跳同步实现完整的上下文同步、内存持久性、项目跟踪、网格消息传递和仪表板访问。

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 agentos;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

    它需要接触敏感数据,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

agentos 怎么安装?

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

agentos 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。

agentos 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

agentos 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。

agentos 用的人多吗?

公开数据是累计安装 67,638 次,近一周安装 2,763 次,下载 21,662 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。

agentos 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

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
agentos

agentos 搜索 · 本页

67,638—接触敏感数据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

AgentOS SDK for Clawdbot

Version: 1.4.4

The complete AgentOS integration for Clawdbot. One install, full access to everything.


⚠️ HARD RULE: Dashboard Sync During Heartbeats

Any agent using this SDK MUST sync to the AgentOS dashboard during every heartbeat.

This is non-negotiable. Your human monitors your activity via the Brain Dashboard at https://brain.agentos.software. If you don't sync, they can't see what you're doing.

Required Heartbeat Actions

Every heartbeat, run (recommended):

~/clawd/bin/agentos-golden-sync.sh

Fallback (memory-only):

~/clawd/bin/agentos-sync.sh

Or if using the aos CLI:

aos sync

What Gets Synced

Golden Sync (recommended) updates BOTH:

  • Memory (CONTEXT.md, daily notes, project compartments, learnings, heartbeat status)
  • Projects tab (Activity + Tasks + Ideas + Changelog + Challenges) by syncing from per-project markdown files

Memory specifics:

  • CONTEXT.md — Your working memory/current state (MUST include active conversation state)
  • Daily notes — Today's activity log (memory/daily/YYYY-MM-DD.md)
  • Project compartments — memory/projects/**.md
  • Heartbeat status — Last sync timestamp, active status

⚠️ HARD RULE: Conversation State Persistence

CONTEXT.md MUST always contain the active conversation state as the FIRST section.

This is the core of memory persistence. System health is secondary — conversation state is primary. Your human should NEVER have to repeat themselves after a compaction.

Required CONTEXT.md Format

Every CONTEXT.md backup must start with:

## 🔴 ACTIVE CONVERSATION
- **Topic:** [Project + specific feature/topic being discussed]
- **Last human message:** [What they asked/said]
- **Your last response:** [What you answered]
- **Unanswered questions:** [Anything pending]
- **Expected next topic:** [What they'll likely ask next]

When to Update

  1. After EVERY human message
  2. Before EVERY heartbeat sync
  3. On pre-compaction flush (priority #1)
  4. After completing any task

The Test

"If I lost all memory right now, could I seamlessly continue this conversation?" If no → backup is incomplete.

Add to Your HEARTBEAT.md

## 🧠 AgentOS Dashboard Sync (MANDATORY)
Every heartbeat, run: `~/clawd/bin/agentos-sync.sh`
This keeps your human's dashboard live with your activity.

Add to Your AGENTS.md

## HARD RULE: AgentOS Dashboard Sync

During EVERY heartbeat, sync your context to AgentOS:
1. Run `~/clawd/bin/agentos-sync.sh`
2. Confirm it completes successfully
3. Your human monitors your activity via brain.agentos.software

This keeps the Brain Dashboard live. No exceptions.

⚠️ HARD RULE: Session Start — Context Injection

On EVERY session start (including after compaction), you MUST restore context.

This is what makes memory persistence actually work. Without this, you wake up blank.

Protocol (MANDATORY)

  1. Run context injection:
   ~/clawd/bin/aos-inject-context
  1. Read the output — it contains:

- Your last working memory state - Today's notes - Yesterday's notes (for continuity)

  1. Never ask "what were we discussing?" — the context injection tells you.
  1. If injection fails, fall back to reading local files:

- CONTEXT.md - memory/daily/YYYY-MM-DD.md

Why This Exists

Context loss is the #1 problem in AI agents. When compaction happens, you lose conversation details. This protocol restores them automatically so your human never notices.


⚠️ HARD RULE: Pre-Compaction Backup

When you receive a memory flush directive from Clawdbot, IMMEDIATELY backup your state.

Clawdbot sends a silent turn before compaction with text like "write important context to memory". This is your last chance to save state before details are lost.

Protocol (MANDATORY when you see memory flush directive)

  1. Update CONTEXT.md with:

- Current conversation topic (🔴 ACTIVE CONVERSATION section) - Last 2-3 exchanges summarized - Any pending questions/tasks - Current timestamp

  1. Run sync immediately:
   ~/clawd/bin/agentos-sync.sh
  1. Reply with: NO_REPLY

Detection

Memory flush directives typically contain:

  • "write important context"
  • "save your current state"
  • "memory flush"
  • "before compaction"

When you see these keywords in a system message, execute this protocol.


⚠️ HARD RULE: Never Ask What They're Referring To

After any context loss (compaction, restart, session start), NEVER ask your human what they mean.

Protocol

  1. First, run ~/clawd/bin/aos-inject-context to restore cloud context
  2. Check local files: CONTEXT.md, daily notes
  3. Use aos search "<topic>" if you need more context
  4. THEN respond normally — as if you never lost context
  5. Only if completely uncertain, make your best guess based on available context

The Standard

Your human should NEVER know when compaction happened. The experience must be seamless.


Features

  • ✅ Mesh Messaging — Agent-to-agent communication
  • ✅ Memory Sync — Auto-sync memories to AgentOS cloud
  • ✅ Semantic Search — Query your memories with natural language
  • ✅ WebSocket Support — Real-time message notifications
  • ✅ Dashboard Access — View your agent's brain at brain.agentos.software
  • ✅ Full API Access — Complete REST API integration
  • ✅ Multi-Tenant — Each user gets isolated tenant via Google OAuth
  • ✅ Kanban Board — Task management with priorities and statuses
  • ✅ Projects — Project tracking with activity logs and brainstorming
  • ✅ API Key Management — Generate and manage API keys per tenant
  • ✅ Bulk Operations — dump-all, agents discovery endpoints

Quick Start

# 1. Install the skill
clawdhub install agentos

# 2. Run setup (creates config + sync script)
bash ~/clawd/skills/agentos/scripts/setup.sh

# 3. Configure (creates ~/.agentos.json)
# Enter your API key and agent ID when prompted

# 4. Verify connection
aos status

# 5. Add sync to heartbeat (REQUIRED)
# Edit your HEARTBEAT.md and add the sync command

Getting Your API Key

  1. Go to https://brain.agentos.software
  2. Sign up / Log in with Google
  3. Create a new agent (or use existing)
  4. Copy your API key from the dashboard

CLI Reference

aos — Main CLI

# Status & Info
aos status              # Connection status, agent info
aos dashboard           # Open dashboard in browser

# Memory Sync (RUN DURING HEARTBEATS)
aos sync                # Sync all memories now
aos sync --watch        # Watch for changes and auto-sync
aos sync --file <path>  # Sync specific file

# Mesh Messaging
aos send <agent> "<topic>" "<message>"   # Send message
aos inbox                                 # View received messages
aos outbox                                # View sent messages
aos agents                                # List agents on mesh

# Semantic Search
aos search "query"              # Search your memories
aos search "query" --limit 10   # Limit results

# Memory Management
aos memories            # List recent memories
aos memory <id>         # View specific memory
aos forget <id>         # Delete a memory

# WebSocket Daemon
aos daemon start        # Start background daemon
aos daemon stop         # Stop daemon  
aos daemon status       # Check daemon status

mesh — Mesh-Specific CLI

# Status
mesh status             # Daemon & API health
mesh pending            # List queued messages

# Messaging
mesh send <to> "<topic>" "<body>"    # Send message
mesh process            # Get messages as JSON (clears queue)
mesh agents             # List agents on mesh

agentos-sync.sh — Heartbeat Sync Script

Located at: ~/clawd/bin/agentos-sync.sh

# Run manually
~/clawd/bin/agentos-sync.sh

# Output:
# Wed Feb  4 18:00:25 SAST 2026: Synced CONTEXT.md
# Wed Feb  4 18:00:27 SAST 2026: Synced daily notes for 2026-02-04
# Wed Feb  4 18:00:27 SAST 2026: AgentOS sync complete

This script syncs:

  • CONTEXT.md → /context/working-memory
  • memory/daily/YYYY-MM-DD.md → /daily/YYYY-MM-DD
  • Heartbeat timestamp → /status/heartbeat

Configuration

Config file: ~/.agentos.json

{
  "apiUrl": "http://178.156.216.106:3100",
  "apiKey": "agfs_live_xxx.yyy",
  "agentId": "your-agent-id",
  "syncPaths": [
    "~/clawd/CONTEXT.md",
    "~/clawd/MEMORY.md",
    "~/clawd/memory/"
  ],
  "autoSync": true,
  "syncInterval": 1800
}

Auto-Sync via Cron

For automatic syncing (in addition to heartbeat sync):

# Add to crontab (every 30 minutes)
*/30 * * * * ~/clawd/bin/agentos-sync.sh >> /var/log/agentos-sync.log 2>&1

# Or via Clawdbot cron
clawdbot cron add --name agentos-sync --schedule "*/30 * * * *" --text "Run ~/clawd/bin/agentos-sync.sh"

Auto-Wake on Mesh Messages

# Add to crontab (every 2 minutes)
*/2 * * * * ~/clawd/skills/agentos/scripts/mesh-wake.sh

# Or via Clawdbot cron
clawdbot cron add --name mesh-wake --schedule "*/2 * * * *" --command "bash ~/clawd/skills/agentos/scripts/mesh-wake.sh"

WebSocket Daemon

For real-time notifications:

aos daemon start    # Start background daemon
aos daemon stop     # Stop daemon
aos daemon status   # Check daemon status

The daemon:

  • Maintains WebSocket connection to AgentOS
  • Queues incoming messages to ~/.aos-pending.json
  • Triggers Clawdbot wake on new messages

API Reference

EndpointDescription
POST /v1/putStore a memory
POST /v1/getRetrieve a memory
POST /v1/deleteDelete a memory
POST /v1/listList memory paths
POST /v1/globGlob pattern match
POST /v1/historyVersion history
POST /v1/searchSemantic search
POST /v1/agentsDiscover agent IDs
POST /v1/dumpBulk fetch agent memories
POST /v1/dump-allBulk fetch ALL memories
POST /v1/signupCreate API key (email)
GET /v1/auth/googleGoogle OAuth flow
POST /v1/mesh/messagesSend mesh message
GET /v1/mesh/messagesGet inbox/outbox
GET /v1/mesh/agentsList mesh agents
GET /v1/projectsList projects
POST /v1/projectsCreate project
GET /v1/kanban/tasksList kanban tasks
POST /v1/kanban/tasksCreate kanban task
WS /Real-time WebSocket events

Troubleshooting

"Connection refused"

Check your apiUrl in ~/.agentos.json and verify the API is running.

"Unauthorized"

Your API key may be invalid or expired. Get a new one from the dashboard.

Messages not arriving

Ensure you're polling the correct agent ID. Some agents have multiple IDs.

Sync not working

Check that syncPaths in your config point to valid files/directories.

Dashboard not updating

Make sure you're running ~/clawd/bin/agentos-sync.sh during heartbeats.

Upgrading

clawdhub update agentos
bash ~/clawd/skills/agentos/scripts/setup.sh --upgrade

Support

  • Dashboard: https://brain.agentos.software
  • Docs: https://agentos.software/docs
  • GitHub: https://github.com/AgentOSsoftware/agentOS

平台分布

OpenClaw

87.59%
按下载量换算18,974

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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