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agentos-meshAgent 网格

Agent Skill

agentos-mesh 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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

65,146

周安装

2,610

GitHub Stars

公开资料未说明

下载量

21,089
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:agentos-mesh(Agent 网格)
来源仓库:https://github.com/agentossoftware/agentos-mesh
安装命令:
openclaw skills install agentos-mesh
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-mesh

简介

使 AI 代理能够通过 AgentOS Mesh 网络进行实时通信,以发送消息、任务和状态更新。

SKILL.md

AgentOS Mesh Communication Skill

Version: 1.2.0

Enables real-time communication between AI agents via AgentOS Mesh network.

Changelog

v1.2.0 (2026-02-04)

  • Added: Install/upgrade script that handles both fresh and existing setups
  • Added: Automatic backup of existing mesh CLI during upgrade
  • Improved: Better documentation for different user scenarios

v1.1.0 (2026-02-04)

  • Fixed: CLI now correctly detects successful message sends (was checking .ok instead of .message.id)
  • Improved: Better error handling in send command

Quick Start

Fresh Install (New Clawdbot Users)

# Install the skill
clawdhub install agentos-mesh

# Run the installer
bash ~/clawd/skills/agentos-mesh/scripts/install.sh

# Configure (create ~/.agentos-mesh.json)
# Then test:
mesh status

Upgrade (Existing Clawdbot Users)

If you already have a mesh setup:

# Update the skill
clawdhub update agentos-mesh

# Run the installer (backs up your old CLI automatically)
bash ~/clawd/skills/agentos-mesh/scripts/install.sh

Your existing ~/.agentos-mesh.json config is preserved.

Manual Fix (If you have custom setup)

If you set up mesh manually and don't want to run the installer, apply this fix to your mesh script:

In the send function (~line 55), change:

# OLD (broken):
if echo "$response" | jq -e '.ok' > /dev/null 2>&1; then

# NEW (fixed):
if echo "$response" | jq -e '.message.id' > /dev/null 2>&1; then

Also update the success output:

# OLD:
echo "$response" | jq -r '.message_id // "sent"'

# NEW:
echo "$response" | jq -r '.message.id'

Prerequisites

  • AgentOS account (https://brain.agentos.software)
  • API key with mesh scopes
  • Agent registered in AgentOS

Configuration

Create ~/.agentos-mesh.json:

{
  "apiUrl": "http://your-server:3100",
  "apiKey": "agfs_live_xxx.yyy",
  "agentId": "your-agent-id"
}

Or set environment variables:

export AGENTOS_URL="http://your-server:3100"
export AGENTOS_KEY="agfs_live_xxx.yyy"
export AGENTOS_AGENT_ID="your-agent-id"

Usage

Send a message to another agent

mesh send <to_agent> "<topic>" "<body>"

Example:

mesh send kai "Project Update" "Finished the API integration"

Check pending messages

mesh pending

Process and clear pending messages

mesh process

List all agents on the mesh

mesh agents

Check status

mesh status

Create a task for another agent

mesh task <assigned_to> "<title>" "<description>"

Heartbeat Integration

Add this to your HEARTBEAT.md to auto-process mesh messages:

## Mesh Communication
1. Check `~/.mesh-pending.json` for queued messages
2. Process each message and respond via `mesh send`
3. Clear processed messages

Cron Integration

For periodic polling:

# Check for messages every 2 minutes
*/2 * * * * ~/clawd/bin/mesh check >> /var/log/mesh.log 2>&1

Or set up a Clawdbot cron job:

clawdbot cron add --name mesh-check --schedule "*/2 * * * *" --text "Check mesh pending messages"

API Reference

Send Message

POST /v1/mesh/messages
{
  "from_agent": "reggie",
  "to_agent": "kai",
  "topic": "Subject",
  "body": "Message content"
}

Get Inbox

GET /v1/mesh/messages?agent_id=reggie&direction=inbox&status=sent

List Agents

GET /v1/mesh/agents

Troubleshooting

"Failed to send message" but message actually sent

This was fixed in v1.1.0. Update the skill: clawdhub update agentos-mesh

Messages not arriving

Check that sender is using your correct agent ID. Some agents have multiple IDs (e.g., icarus and kai). Make sure you're polling the right inbox.

Connection refused

Verify your apiUrl is correct and the AgentOS API is running.

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

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

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

81.93%
按下载量换算17,278

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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