MetaGPT
★ 71.0k
vs
agentao
★ 310
MetaGPT vs agentao
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.; agentao: Agentao is a governed agent runtime for Python, emphasizing local-first, private-first, and embeddable design. It provides comprehensive control over permissions, protocols, memory, plugins, and multi-session capabilities for AI agents.
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).
agentaoMulti-Agent · ★ 310
Embedding AI agent capabilities into existing Python applications or frameworks.
02
Side-by-Side Comparison
Field
MetaGPTagentaoCategory
Multi-Agent
Multi-Agent
Stars
★ 71.0k
★ 310
License
MIT
MIT
Install Command
pip install --upgrade metagpt
pip install 'agentao[cli]'
Updated
9mo ago
3d ago
Open Source
Yes
Yes
Tags
Multi-Agent System, Large Language Models, Software Development
Agent Runtime, Python, LLM 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.
agentao01Robust Governance: Features include tool confirmation, four permission modes (read-only, workspace-write, full-access, plan), and macOS sandbox execution.
02Persistent Memory: SQLite-backed memory with user/project scopes, automatic recall, and Jieba Chinese segmentation for enhanced context.
03Extensible Skills: Automatically discovered from local directories, installable from GitHub, and supports a `/crystallize` workflow for skill creation.
04Flexible Protocols: Implements MCP for tools (stdio, HTTP, SSE) and ACP (JSON-RPC) for full agents, with a comprehensive plugin lifecycle.
05Seamless Embedding: Offers a direct `Agentao(...)` constructor, event streams, active permissions management, and capability injection for integration.
04
Use Cases
MetaGPT↳Data Interpreter
↳Debate
↳Researcher
agentao↳Embedding AI agent capabilities into existing Python applications or frameworks.
↳Developing and driving AI agents directly from the terminal using a comprehensive command-line interface.
↳Building custom AI agents with specific governance rules, persistent memory management, and flexible tool integration.
↳Creating and managing a library of reusable AI skills that can be installed and shared across different projects.
05
Best For
MetaGPTMost PopularEssential
agentaoHidden Gem
FAQ
FAQ
What is the difference between MetaGPT and agentao?
Both MetaGPT and agentao are in the Multi-Agent category. MetaGPT has 71.0k stars, while agentao has 310 stars.
Which is better, MetaGPT or agentao?
The best choice depends on your use case. Choose MetaGPT if Data Interpreter, and agentao if Embedding AI agent capabilities into existing Python applications or frameworks..
Is MetaGPT free or open source?
Yes, MetaGPT is open source on GitHub (MIT).
Is agentao free or open source?
Yes, agentao is open source on GitHub (MIT).
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