MetaGPT
★ 71.0k
vs
openrig
★ 8.3k
MetaGPT vs openrig
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.; openrig: OpenRig wraps coding agent harnesses into a rig: a persistent team defined in YAML and booted with one command, with Claude Code and Codex managed as one system. You talk to a lead agent about the outcome you want, and it coordinates specialists across teams and surfaces results and decisions.
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).
openrigMulti-Agent · ★ 8.3k
Run a persistent team of coding agents on a repository
02
Side-by-Side Comparison
Field
MetaGPTopenrigCategory
Multi-Agent
Multi-Agent
Stars
★ 71.0k
★ 8.3k
License
MIT
Apache-2.0
Install Command
pip install --upgrade metagpt
npx skills add https://github.com/mvschwarz/openrig/tree/v0.7.0/skills/rigs --skill rigs --agent claude-code
Updated
9mo ago
1d ago
Open Source
Yes
Yes
Tags
Multi-Agent System, Large Language Models, Software Development
agent-team, agent-orchestration, claude-code
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.
openrig01Agent teams defined in YAML and started with one command
02Claude Code, Codex and Pi in the same rig
03Kernel operator agent that adapts a starter team to your provider
04TUI showing seats with runtime, model, context and state
05Installable as a rigs skill in Claude Code or Codex
04
Use Cases
MetaGPT↳Data Interpreter
↳Debate
↳Researcher
openrig↳Run a persistent team of coding agents on a repository
↳Have a lead agent coordinate specialists toward one outcome
↳Combine Claude Code and Codex in one managed system
05
Best For
MetaGPTMost PopularEssential
openrig—
FAQ
FAQ
What is the difference between MetaGPT and openrig?
Both MetaGPT and openrig are in the Multi-Agent category. MetaGPT has 71.0k stars, while openrig has 8.3k stars.
Which is better, MetaGPT or openrig?
The best choice depends on your use case. Choose MetaGPT if Data Interpreter, and openrig if Run a persistent team of coding agents on a repository.
Is MetaGPT free or open source?
Yes, MetaGPT is open source on GitHub (MIT).
Is openrig free or open source?
Yes, openrig is open source on GitHub (Apache-2.0).
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