MetaGPT
★ 71.0k
vs
stellar-raven
★ 14
MetaGPT vs stellar-raven
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.; stellar-raven: Stellar Raven is a remote MCP server built on Cloudflare Workers, offering `search` and `execute` tools to agents. It provides a unified catalog of Stellar ecosystem services and skills, enabling agents to discover and execute capabilities securely within a sandboxed environment.
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).
stellar-ravenMulti-Agent · ★ 14
Empowering AI agents to discover available services and skills
02
Side-by-Side Comparison
Field
MetaGPTstellar-ravenCategory
Multi-Agent
Multi-Agent
Stars
★ 71.0k
★ 14
License
MIT
Apache-2.0
Install Command
pip install --upgrade metagpt
npm ci && npm run dev
Updated
9mo ago
2mo ago
Open Source
Yes
Yes
Tags
Multi-Agent System, Large Language Models, Software Development
Cloudflare Workers, Serverless, Multi-Agent
03
Features
MetaGPT01Accepts 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.
stellar-raven01Remote MCP server on Cloudflare Workers
02Offers `search` and `execute` tools for agent interaction
03Secure execution of JavaScript in a sandboxed Dynamic Worker isolate
04Unified catalog for Stellar ecosystem services and skills
04
Use Cases
MetaGPT↳Data Interpreter
↳Debate
↳Researcher
stellar-raven↳Empowering AI agents to discover available services and skills
↳Securely executing agent-generated JavaScript code for specific tasks
↳Providing a centralized interface for integrating and accessing Stellar ecosystem functionalities
05
Best For
MetaGPTMost PopularEssential
stellar-raven—
FAQ
FAQ
What is the difference between MetaGPT and stellar-raven?
Both MetaGPT and stellar-raven are in the Multi-Agent category. MetaGPT has 71.0k stars, while stellar-raven has 14 stars.
Which is better, MetaGPT or stellar-raven?
The best choice depends on your use case. Choose MetaGPT if Data Interpreter, and stellar-raven if Empowering AI agents to discover available services and skills.
Is MetaGPT free or open source?
Yes, MetaGPT is open source on GitHub (MIT).
Is stellar-raven free or open source?
Yes, stellar-raven is open source on GitHub (Apache-2.0).
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