Deerflow brings deployment documentation to open-source agent orchestration

An agent framework documented for deployment

Many early agent frameworks offered a working example and little guidance on running it anywhere real. Deerflow takes a different approach: its documentation set covers setup, deployment, model selection and day-to-day usage, the kind of production-oriented scaffolding that has often been missing. That breadth suggests some agent tooling may be moving beyond hackathon demos, though documentation alone says little about how the framework behaves under load or how actively it is maintained.

For teams weighing whether to build their own agent orchestration or adopt an existing framework, the deployment and model-selection guidance is the part worth checking first. Those sections show whether the project fits your infrastructure and model choices before you commit to it over assembling a custom stack.