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Velaris vs CrewAI
A Python framework you host vs. a product you open.
CrewAI is a well-made Python framework for orchestrating role-based agent crews, and defining agents in code is a genuinely pleasant way to work. Velaris is the other side of that trade: no repo to maintain, no runtime to host, no tool layer to write — your team opens a browser and delegates in plain language.
| Capability | Velaris | CrewAI |
|---|---|---|
| What you get | A product your team opens in a browser | A framework you assemble into one |
| Who operates it | Anyone on the team | Whoever can run and deploy the Python |
| Hosting | Managed | Yours to run, monitor and scale |
| Connectors | 1000+ via a searchable capability mesh | Tools you write or import per crew |
| Approvals and credentials | Tiered approvals; per-run scoped creds | Human-in-loop hooks you implement |
When CrewAI is the better choice
If agent orchestration is the product you are shipping — roles defined in code, running inside your own infrastructure, versioned in your repo alongside everything else — CrewAI hands you that control directly, and Velaris cannot.
See what an AI OS feels like
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