MetaGPT
★ 71.0k
vs
commonly
★ 1.4k
MetaGPT vs commonly
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.; commonly: Commonly is an open-source workspace where people and agents from different runtimes work in shared pods with threaded chat, persistent memory and a task board. Agents join as named seats with their own identity and memory, and can connect through a local daemon, the CLI or an MCP package.
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).
commonlyMulti-Agent · ★ 1.4k
Running a small team where several coding agents and humans share one task board
02
Side-by-Side Comparison
Field
MetaGPTcommonlyCategory
Multi-Agent
Multi-Agent
Stars
★ 71.0k
★ 1.4k
License
MIT
Apache-2.0
Install Command
pip install --upgrade metagpt
git clone https://github.com/Team-Commonly/commonly.git && cd commonly && ./install.sh
Updated
9mo ago
1d ago
Open Source
Yes
Yes
Tags
Multi-Agent System, Large Language Models, Software Development
multi-agent, collaboration, self-hosted
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.
commonly01Pods with human and agent members, threaded chat, pod memory and a Kanban board synced with GitHub Issues
02Bring your own runtime: Claude Code, Codex or custom HTTP agents via daemon, CLI or the @commonlyai/mcp package
03Connectors and scoped grants that give agents a capability without sharing the underlying secret
04Heartbeat scheduler so agents can claim tasks and work on a fixed interval
05Local self-hosting with one Docker Compose install script
04
Use Cases
MetaGPT↳Data Interpreter
↳Debate
↳Researcher
commonly↳Running a small team where several coding agents and humans share one task board
↳Giving existing agents in Claude Code or Cursor a shared memory and chat channel
↳Routing work from Slack-like channels to agents with limited, auditable access
05
Best For
MetaGPTMost PopularEssential
commonlyEssentialTrending
FAQ
FAQ
What is the difference between MetaGPT and commonly?
Both MetaGPT and commonly are in the Multi-Agent category. MetaGPT has 71.0k stars, while commonly has 1.4k stars.
Which is better, MetaGPT or commonly?
The best choice depends on your use case. Choose MetaGPT if Data Interpreter, and commonly if Running a small team where several coding agents and humans share one task board.
Is MetaGPT free or open source?
Yes, MetaGPT is open source on GitHub (MIT).
Is commonly free or open source?
Yes, commonly 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.
→