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 fastest way to settle this
Reading about a team takes longer than having one. Open a workspace on the free plan, tell Kav what you want done this week, and watch which specialists it puts on the job and what comes back. Ten minutes settles what a comparison page can only argue about.