MetaGPT
★ 71.0k
vs
omnigent
★ 11.0k
MetaGPT vs omnigent
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.; omnigent: Omnigent is an open-source meta-harness providing a unified orchestration layer for various AI agents, including commercial and custom ones. It enables cross-device collaboration, multi-agent supervision, policy enforcement, and execution in secure cloud sandboxes.
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).
omnigentMulti-Agent · ★ 11.0k
Orchestrating complex development or research tasks with multiple specialized AI agents.
02
Side-by-Side Comparison
Field
MetaGPTomnigentCategory
Multi-Agent
Multi-Agent
Stars
★ 71.0k
★ 11.0k
License
MIT
Apache-2.0
Install Command
pip install --upgrade metagpt
curl -fsSL https://raw.githubusercontent.com/omnigent-ai/omnigent/main/scripts/install_oss.sh | sh
Updated
9mo ago
1d ago
Open Source
Yes
Yes
Tags
Multi-Agent System, Large Language Models, Software Development
AI Agent Orchestration, Multi-Agent System, LLM Harness
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.
omnigent01Cross-device agent interaction (terminal, browser, phone)
02Multi-agent supervision and combination from various vendors
03Secure execution in disposable cloud sandboxes
04Granular policy enforcement for agent actions and spending
05Real-time team collaboration with session sharing and co-driving
04
Use Cases
MetaGPT↳Data Interpreter
↳Debate
↳Researcher
omnigent↳Orchestrating complex development or research tasks with multiple specialized AI agents.
↳Collaboratively brainstorming ideas and receiving multi-perspective critiques from different LLMs.
↳Running and supervising AI agents in secure, disposable cloud environments.
↳Enforcing governance and cost controls over AI agent activities in team settings.
05
Best For
MetaGPTMost PopularEssential
omnigentMost Popular
FAQ
FAQ
What is the difference between MetaGPT and omnigent?
Both MetaGPT and omnigent are in the Multi-Agent category. MetaGPT has 71.0k stars, while omnigent has 11.0k stars.
Which is better, MetaGPT or omnigent?
The best choice depends on your use case. Choose MetaGPT if Data Interpreter, and omnigent if Orchestrating complex development or research tasks with multiple specialized AI agents..
Is MetaGPT free or open source?
Yes, MetaGPT is open source on GitHub (MIT).
Is omnigent free or open source?
Yes, omnigent is open source on GitHub (Apache-2.0).
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