awesome-a2a logo
awesome-a2a
★ 699
vs
MetaGPT logo
MetaGPT
★ 71.0k

awesome-a2a vs MetaGPT

awesome-a2a: Awesome A2A is a curated list of resources, implementations, and tools for the Agent2Agent (A2A) Protocol, which revolutionizes how AI agents communicate and collaborate. This open protocol enables seamless interoperability across different frameworks, vendors, and platforms, allowing for more complex cross-application automation.; 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.

01

TL;DR

awesome-a2a logo
awesome-a2aMulti-Agent · ★ 699

Enabling interoperability between AI agents from different vendors and frameworks

MetaGPT logo
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).
02

Side-by-Side Comparison

Field
awesome-a2a logoawesome-a2a
MetaGPT logoMetaGPT
Category
Multi-Agent
Multi-Agent
Stars
★ 699
★ 71.0k
License
MIT
MIT
Install Command
git clone https://github.com/a2aproject/a2a-samples.git && cd a2a-samples
pip install --upgrade metagpt
Updated
1d ago
9mo ago
Open Source
Yes
Yes
Tags
A2A Protocol, AI Agent Interoperability, Multi-Agent Systems
Multi-Agent System, Large Language Models, Software Development
03

Features

awesome-a2a logoawesome-a2a
01Simple, built on existing standards (HTTP, JSON-RPC, SSE)
02Enterprise Ready with focus on security, privacy, and monitoring
03Async First for long-running tasks and human-in-the-loop scenarios
04Modality Agnostic, supporting various data types (text, files, forms)
MetaGPT logoMetaGPT
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.
04

Use Cases

awesome-a2a logoawesome-a2a
↳Enabling interoperability between AI agents from different vendors and frameworks
↳Building complex multi-agent collaboration workflows for automated tasks
↳Developing secure and auditable agent-to-agent communication channels
↳Integrating diverse AI capabilities for cross-application automation
MetaGPT logoMetaGPT
↳Data Interpreter
↳Debate
↳Researcher
05

Best For

awesome-a2a logoawesome-a2a
Trending
MetaGPT logoMetaGPT
Most PopularEssential
FAQ

FAQ

What is the difference between awesome-a2a and MetaGPT?
Both awesome-a2a and MetaGPT are in the Multi-Agent category. awesome-a2a has 699 stars, while MetaGPT has 71.0k stars.
Which is better, awesome-a2a or MetaGPT?
The best choice depends on your use case. Choose awesome-a2a if Enabling interoperability between AI agents from different vendors and frameworks, and MetaGPT if Data Interpreter.
Is awesome-a2a free or open source?
Yes, awesome-a2a is open source on GitHub (MIT).
Is MetaGPT free or open source?
Yes, MetaGPT is open source on GitHub (MIT).
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