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Agentos Mesh

AgentOS Mesh Communication Skill

agentossoftware0 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install agentossoftware/agentos-mesh

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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

Configuration

Create ~/.agentos-mesh.json:

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

Or set environment variables:

export AGEN...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/agentossoftware/agentos-mesh
Version
—
Commit
ea4d82b4e457812f47454454560af31f5b98391e
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

来源内容

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)

```bash
# 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:

```bash
# 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:**
```bash
# 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:**
```bash
# 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`:
```json
{
  "apiUrl": "http://your-server:3100",
  "apiKey": "agfs_live_xxx.yyy",
  "agentId": "your-agent-id"
}
```

Or set environment variables:
```bash
export AGEN...

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