# agent-network

> Use this tool when you need to facilitate local-first multi-agent collaboration and mesh dispatch across various AI models, such as Claude, GPT, and MiniMax. It solves problems of integrating multiple AI agents and enables seamless communication between them through a local hub and web dashboard. Ideal for use cases requiring decentralized, flexible, and scalable AI model management, with inputs including AI model selections and outputs including collaborative results and insights.

Canonical page: https://skillsregistry.net/skills/sleep2agi-agent-network  
JSON: https://api.skillsregistry.net/v1/skills/sleep2agi-agent-network

## Description

多 Agent，一行命令。Run a multi-agent network with Claude / GPT / MiniMax — one npm install.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/sleep2agi/agent-network)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sleep2agi-agent-network"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sleep2agi-agent-network` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sleep2agi-agent-network/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt