Agentos Mesh OpenClaw Plugin & Skill | ClawHub
Looking to integrate Agentos Mesh into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate image & video generation tasks instantly, without having to write custom tools from scratch.
What this skill does
Enables real-time communication between AI agents.
Install
npx clawhub@latest install agentos-meshFull SKILL.md
Open originalSKILL.md content below is scrollable.
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
.okinstead 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.