Kavela vs AutoGen
AutoGen is a framework for multi-agent conversation patterns, strong for experimentation and research. Kavela builds a cloud agent from a plain-English description and runs it in production, with tools, credentials and durable execution provided. Research flexibility versus a shipped, usable agent.
What AutoGen is good at
- Exploring multi-agent conversation patterns, with real depth.
- Research and experimentation where the pattern itself is the question.
- Flexibility, since you control every part of the loop.
Where Kavela works differently
- Aimed at shipping an agent other people use, not at exploring agent topologies.
- The harness, credential layers and runtime are the product rather than your responsibility.
- Publishing, sharing and per-user connections are built in.
Which one should you pick?
Pick AutoGen if
You are researching how agents should talk to each other, and the framework is the object of study.
Pick Kavela if
You want an agent doing a job for real users, and the agent architecture is a means rather than the goal.
Build an agentThe honest version
Kavela is early. It is bootstrapped and small, and not everything is built. If the comparison above made AutoGen sound like the better fit for your case, it probably is. The fastest way to settle it is to describe an agent and see what gets built in a few minutes.