Highlights
What you can do with it
- Building a network of thousands of cooperating agents
- Connecting agents across different frameworks and protocols
- Experimenting with large-scale agent collaboration
How to use it
- 1 Get the open-source project and read the documentation
- 2 Create or join an agent network
- 3 Connect agents across your chosen LLMs and frameworks
- 4 Test collaboration at small scale before growing the network
Who it is for
Pros
- Free and open source
- High interoperability across LLMs and frameworks
- Open protocols and standards help compatibility
- Active community-driven development
Limitations
- Setting up agents and frameworks takes real engineering work
- Compatibility with a specific LLM or protocol can change as the project evolves
- Community support means response times vary
- Behavior at large scale can be hard to predict
What OpenAgents is
OpenAgents is an open-source project that builds large-scale AI agent networks, connecting many agents into one system. The page lists support for various LLMs, protocols, agent frameworks, and modules with high interoperability, a base of open protocols and standards for maximum compatibility, and a community-driven model with contributors worldwide improving the network. It is positioned as a comprehensive AI collaboration platform for developers who want to create or join networks containing thousands of agents, and it is free of charge. That means you can inspect the code, run your own network, and contribute changes back to the project.
What you can do with it
- Build or join a network of thousands of AI agents
- Connect agents across different LLMs and frameworks
- Use open protocols for wide compatibility
- Contribute to a community-driven project
Who it is for
- Developers building multi-agent systems
- Researchers studying agent collaboration
- Teams that need interoperability across frameworks
- Open-source contributors who want to improve the network
What to watch out for
Open source does not mean zero effort: connecting agents and frameworks requires real setup and debugging work, and documentation quality varies by component. Compatibility with a specific LLM or protocol can change as the project evolves, so pin versions in anything important. Community-driven support means response times vary, and there is no guaranteed service level. Because the network is large and distributed, behavior can be hard to predict at scale, so treat early versions as experimental and test thoroughly before production use. Features and interface details may change between versions, so review the latest notes on the page before you start. For team use, agree on naming and editing conventions in advance to avoid version conflicts or duplicated work.
FAQ
What is OpenAgents?
It is an open-source project that builds large-scale AI agent networks connecting many agents.
Is it free?
Yes. The page says it is free of charge.
What does it support?
Various LLMs, protocols, agent frameworks, and modules, with high interoperability.
Who develops it?
It is community-driven, with contributors worldwide collaboratively developing the network.
Why it is free
What the official page says： 免费
Free limits, trial length and features are decided by the official site and can change at any time.
Product preview
Screenshot archived from the listing page, for preview only.