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agentosagentos 搜索

Agent Skill

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。

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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: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

简介

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。

SKILL.md

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 compartmentsmemory/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

适合场景

01

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

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能力 5

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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。

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