MetaGPT
★ 71.0k
vs
awesome-multi-agent-papers
★ 1.7k
MetaGPT vs awesome-multi-agent-papers
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.; awesome-multi-agent-papers: This repository compiles an awesome list of the best multi-agent research papers, curated by the Swarms Team. Its mission is to advance multi-agent systems research, promote their widespread adoption, and facilitate their integration into the global economy.
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).
awesome-multi-agent-papersMulti-Agent · ★ 1.7k
Literature review for multi-agent system researchers and students.
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Side-by-Side Comparison
Field
Category
Multi-Agent
Multi-Agent
Stars
★ 71.0k
★ 1.7k
License
MIT
NOASSERTION
Install Command
pip install --upgrade metagpt
git clone https://github.com/kyegomez/awesome-multi-agent-papers.git
Updated
9mo ago
5d ago
Open Source
Yes
Yes
Tags
Multi-Agent System, Large Language Models, Software Development
Multi-Agent Systems, Large Language Models, AI Research
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.
01A curated, comprehensive list of multi-agent research papers.
02Papers are systematically categorized into key areas like collaboration, frameworks, and applications.
03Strong focus on Large Language Model (LLM)-based multi-agent systems.
04Provides direct access to papers via links (arXiv, GitHub, Semantic Scholar, etc.).
05Explores diverse real-world application domains for multi-agent AI.
04
Use Cases
↳Data Interpreter
↳Debate
↳Researcher
↳Literature review for multi-agent system researchers and students.
↳Exploring cutting-edge multi-agent frameworks and design patterns.
↳Identifying state-of-the-art applications of multi-agent AI in various domains.
05
Best For
Most PopularEssential
Trending
FAQ
FAQ
What is the difference between MetaGPT and awesome-multi-agent-papers?
Both MetaGPT and awesome-multi-agent-papers are in the Multi-Agent category. MetaGPT has 71.0k stars, while awesome-multi-agent-papers has 1.7k stars.
Which is better, MetaGPT or awesome-multi-agent-papers?
The best choice depends on your use case. Choose MetaGPT if Data Interpreter, and awesome-multi-agent-papers if Literature review for multi-agent system researchers and students..
Is MetaGPT free or open source?
Yes, MetaGPT is open source on GitHub (MIT).
Is awesome-multi-agent-papers free or open source?
Yes, awesome-multi-agent-papers is open source on GitHub (NOASSERTION).
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