agent-network
agent-network lets you build teams of AI agents with one command, enabling multi‑model collaboration for developers and AI enthusiasts.
Tool overview
What it does: agent-network unifies multiple runtimes (Claude Code, Claude Agent SDK, Codex, Grok Build) into a single fabric, using MCP auto‑discovery to connect services and enable streaming collaboration among agents. The built‑in web dashboard offers a real‑time view for monitoring, scheduling, and managing your agent swarm. Strengths: It supports 8+ LLM providers (Anthropic, OpenAI, xAI, MiniMax, DeepSeek, etc.) and runs locally first, giving you more control over data. The lightweight, Apache‑2.0‑licensed project starts with one command, and the dashboard helps you observe and debug multi‑agent interactions. Limitations & risks: The project is early‑stage (48 stars) – community support and documentation may be thin, and production‑grade stability needs independent validation. Setup requires technical skills to configure API keys and environments; non‑engineers may struggle. It depends on third‑party LLM APIs, so network issues or quota limits can disrupt operation. Cost & audience: The code is free, but actual costs depend on your own API usage and local or cloud compute resources.