MetaGPT vs OpenHands
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
A framework where several LLM agents play software-company roles to build software from one sentence.
Open source · MIT
A self-hosted control panel that runs AI coding agents on your machine, in Docker, or in the cloud.
Our verdict
MetaGPT is a Python framework for experimenting with teams of AI agents that play software-company roles, such as product manager and engineer, to turn a one-line request into design documents and code. OpenHands is a self-hosted control panel for running coding agents, including third-party ones, on your own machine, in Docker, or in the cloud, and wiring them into tools like Slack and GitHub. They solve different problems: MetaGPT is for studying and prototyping multi-agent workflows, while OpenHands is for getting coding agents to do ongoing work on your infrastructure.
Pick MetaGPT if you are a developer, researcher, or student who wants to experiment with how role-based AI agents collaborate to build a small software prototype.
Pick OpenHands if you want coding agents running on a server or team setup and connected to tools like Slack, GitHub, or Linear, and you are comfortable with self-hosting.
| Key difference | MetaGPT | OpenHands |
|---|---|---|
| Type | Python framework you install and script with | Self-hosted app with a control panel interface |
| Core idea | Several AI agents act as software-company roles | One place to run and manage coding agents |
| Setup | Intermediate; needs an LLM API key and Python, plus Node.js with pnpm | Intermediate; needs Node.js, npm, and often Docker and the command line |
| Security by default | README makes no production-ready code guarantee; review output yourself | Quickstart without a sandbox gives the agent full filesystem access |
| Cost | Free and open source; you pay for LLM API usage | Free and open source; you pay for your own LLM provider and hosting |
Written with AI from both products' catalogue entries · updated 2026-10-29
Who each one is for
Choose MetaGPT if you need…
- Developers experimenting with multi-agent LLM workflows
- Researchers interested in agent collaboration using standard operating procedures
- Students exploring how role-based AI teams are built
- People who want a starting-point project to generate small software prototypes
Choose OpenHands if you need…
- Developers who want coding agents running on a server while their laptop is off
- Teams that want a shared agent server for tasks like code review or dependency updates
- People who want to connect agents to Slack, GitHub, or Linear through automations
- Users who want to choose their own LLM provider
Side-by-side
| MetaGPT | OpenHands | |
|---|---|---|
| Type | Framework | App |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 71.1k | 92.5k |
| Setup difficulty | Intermediate | Intermediate |
| How you get it | Install with a package manager | Install with a package manager |
| Main language | Python | TypeScript |
| Last code update | 10 months ago | 4 days ago |
What each one is
MetaGPT
MetaGPT is a Python framework that assigns different roles, such as product manager, architect, project manager, and engineer, to LLM-based agents. You give it a one-line requirement and the agents work through a software-company style process to produce artifacts like user stories, requirements, data structures, APIs, and code. It is used by people who want to experiment with multi-agent collaboration on complex tasks.
OpenHands
Agent Canvas is a self-hosted control center for AI coding agents. You start conversations with agents and set up automations, such as generating reports that publish to Slack or breaking GitHub issues into tasks. It runs on your own machine by default and can also connect to agents running in Docker, on virtual machines, or on OpenHands Cloud or Enterprise infrastructure. It can run the open source OpenHands agent or third-party agents such as Claude Code, Codex, and Gemini CLI.
Best for
MetaGPT
- Developers experimenting with multi-agent LLM workflows
- Researchers interested in agent collaboration using standard operating procedures
- Students exploring how role-based AI teams are built
- People who want a starting-point project to generate small software prototypes
OpenHands
- Developers who want coding agents running on a server while their laptop is off
- Teams that want a shared agent server for tasks like code review or dependency updates
- People who want to connect agents to Slack, GitHub, or Linear through automations
- Users who want to choose their own LLM provider
Strengths
MetaGPT
- Clear, documented multi-role design built around a software-company process
- Supports several LLM providers through a single YAML configuration file
- Open source under the MIT license with an active project and a large star count
OpenHands
- Self-hosted, so you control where agents run and where your work is stored
- Supports several agents and backends from one frontend
- Released under the MIT license with a large public community (about 92,000 stars)
Not ideal for
MetaGPT
- Users who need reliable, production-ready code without reviewing output, since the README does not make such guarantees
- People without an LLM API key or local model setup, since configuration is required before use
- Users who want a no-code, point-and-click tool; the README centers on CLI and Python usage
OpenHands
- People who need strong isolation by default: the quickstart without a sandbox gives the agent full access to your filesystem
- Non-technical users who are not comfortable with Node.js, npm, Docker, or the command line
- Anyone who needs a fully hosted service with no setup, since the README centers on self-hosting
Trade-offs
MetaGPT
- Output quality depends on the underlying LLM and API costs are paid by the user
- The README requires a specific Python version range and Node.js with pnpm, which adds setup steps
- Documentation is spread across an external site, so some details are not in the README itself
OpenHands
- Running without a sandbox gives the agent full access to your filesystem, so the Docker options need careful setup
- Multiple features depend on configuring backends, LLM keys, and integrations, which takes effort
- The README is truncated and does not fully document security hardening or every integration; see the linked docs
Getting started
MetaGPT
Install from PyPI
pip install --upgrade metagptCreate initial config file
metagpt --init-configOpenHands
Install globally with npm (no sandbox)
npm install -g @openhands/agent-canvasStart the full local stack
agent-canvasFrequently asked questions
Should I use MetaGPT or OpenHands?
MetaGPT is a Python framework for experimenting with teams of AI agents that play software-company roles, such as product manager and engineer, to turn a one-line request into design documents and code. OpenHands is a self-hosted control panel for running coding agents, including third-party ones, on your own machine, in Docker, or in the cloud, and wiring them into tools like Slack and GitHub. They solve different problems: MetaGPT is for studying and prototyping multi-agent workflows, while OpenHands is for getting coding agents to do ongoing work on your infrastructure. Pick MetaGPT if you are a developer, researcher, or student who wants to experiment with how role-based AI agents collaborate to build a small software prototype. Pick OpenHands if you want coding agents running on a server or team setup and connected to tools like Slack, GitHub, or Linear, and you are comfortable with self-hosting.
What is the difference between MetaGPT and OpenHands?
MetaGPT: A framework where several LLM agents play software-company roles to build software from one sentence. OpenHands: A self-hosted control panel that runs AI coding agents on your machine, in Docker, or in the cloud. MetaGPT suits developers experimenting with multi-agent llm workflows, while OpenHands suits developers who want coding agents running on a server while their laptop is off.
Are MetaGPT and OpenHands free?
MetaGPT: Free and open source. OpenHands: Free and open source.
Is MetaGPT or OpenHands more popular?
OpenHands has more GitHub stars (92.5k) than MetaGPT (71.1k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to MetaGPT and OpenHands?
Other options people compare them with include CrewAI, Agent Lightning, OpenUI, One API, LlamaGPT.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.