MetaGPT
★ 71.0k
vs
agent-network
★ 101
MetaGPT vs agent-network
MetaGPT: MetaGPT is a multi-agent framework that assigns different roles to LLMs, enabling them to collaborate on complex software development tasks. It takes a one-line requirement and outputs comprehensive project artifacts, mimicking a software company's entire process.; agent-network: Agent Network is a local-first multi-agent collaboration platform that runs entirely on your machine. It provides a unified CLI to manage Hub, Web Dashboard, and multiple agents, supporting various LLM providers and automatic task distribution via MCP tools. Optional LAN sharing is available.
01
TL;DR
MetaGPTMulti-Agent · ★ 71.0k
When to choose:
- You want to experiment with or demonstrate the 'software company SOP' multi-agent pattern (PM, architect, engineer generating specs and code).
- You are looking for the reference implementation of research papers from the team such as AFlow, SPO, and AOT.
When to skip:
- You want an actively updated general-purpose production agent framework; the repository's last push was in January 2026.
- You are on Python 3.12+ or do not want to install Node.js and pnpm alongside Python (README specifies Python 3.9–3.11).
agent-networkMulti-Agent · ★ 101
Running multiple AI agents locally for collaborative task execution
02
Side-by-Side Comparison
Field
Category
Multi-Agent
Multi-Agent
Stars
★ 71.0k
★ 101
License
MIT
Apache-2.0
Install Command
pip install --upgrade metagpt
npm install -g @sleep2agi/agent-network
Updated
9mo ago
1d ago
Open Source
Yes
Yes
Tags
Multi-Agent System, Large Language Models, Software Development
agent-network, ai-agents, anthropic
03
Features
01Accepts single-line requirements and generates comprehensive software artifacts (e.g., user stories, APIs, documentation).
02Emulates a software company by assigning distinct roles (e.g., PM, Architect, Engineer) to LLM agents.
03Orchestrates collaborative processes using Standard Operating Procedures (SOPs) for complex task completion.
04Supports integration with various Large Language Models and APIs (e.g., OpenAI, Azure, Ollama, Groq).
05Enables advanced capabilities like data interpretation and automated workflow generation.
01Single CLI for Hub, Dashboard, and Agent runtimes (Claude Code CLI, Claude Agent SDK, Codex SDK)
02Switch between 8 LLM providers (Anthropic, OpenAI, MiniMax, DeepSeek, GLM, Kimi, InternLM, OpenRouter) via ANTHROPIC_BASE_URL
03Local or cross-server mesh network with real-time SSE communication and automatic agent discovery
0417 built-in MCP tools for automatic task delegation between agents without manual orchestration
05Built-in Web Dashboard (Chat, Nodes, Tasks, Messages, Networks, Logs, Admin) with 4 themes
04
Use Cases
↳Data Interpreter
↳Debate
↳Researcher
↳Running multiple AI agents locally for collaborative task execution
↳Deploying agents across multiple servers or workstations connected via a single Hub
↳Unified management and switching between various LLM providers for different agent tasks
05
Best For
Most PopularEssential
—
FAQ
FAQ
What is the difference between MetaGPT and agent-network?
Both MetaGPT and agent-network are in the Multi-Agent category. MetaGPT has 71.0k stars, while agent-network has 101 stars.
Which is better, MetaGPT or agent-network?
The best choice depends on your use case. Choose MetaGPT if Data Interpreter, and agent-network if Running multiple AI agents locally for collaborative task execution.
Is MetaGPT free or open source?
Yes, MetaGPT is open source on GitHub (MIT).
Is agent-network free or open source?
Yes, agent-network is open source on GitHub (Apache-2.0).
Cloud Infrastructure
AdDeploy on DigitalOcean
Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.
→