Run a local, private multi-agent team
Keep the data on your machine: open-multi-agent runs against a local Ollama endpoint just like a cloud provider.
The problem.
Sending every prompt to a hosted API is a non-starter when the data is sensitive or the budget is zero — but most agent frameworks assume a cloud key and make “fully local” an afterthought.
How open-multi-agent does it.
Because any agent can point at an OpenAI-compatible endpoint, a local Ollama server is just another provider — you can run the whole team, coordinator included, on a small local model at zero API cost. When you need more, a hybrid keeps sensitive agents local and routes only the heavy reasoning to the cloud, all in one team.
When this fits.
This fits when privacy, offline operation, or a $0 budget rules out a hosted API — or when you want a cheap local baseline and cloud only for the hard parts. If latency and top-tier quality dominate, a cloud-only team is simpler.
Taking this to production?
open-multi-agent is MIT-licensed and free to run yourself. When you need it delivered, integrated, or supported on a deadline, 元定义科技 (YuanASI) offers commercial delivery and support.