[esafak]

This space is crowded and largely undifferentiated. I'd look for MCP support, state management, observability, tests, and a high bus factor to stand out. By these measures, DAPR is not competitive; it would not make my shortlist.

Assuming you knew there are lots of alternatives, what led you to create it?

[yaronsc]

Dapr's state management API supports more than 20 different databases, with the ability to stream data at high scale right into the agent tasks. That's a major differentiator as you can plug in almost any database and message bus into Dapr Agents.

We wanted to create a vendor neutral framework that doesn't over pivot on features that are tied to the backing of a commercial product. The other and no less important point is the ecosystem that Dapr has around messaging and state integrations. A lot of the Agentic AI frameworks you see today will not withstand a restart of the process,let alone complete cluster shutdown. Dapr has durability built-in to handle these catastrophic failures

[esafak]

I'd lead with durability and streaming, back it with benchmarks, and suggest some use cases (e-commerce, etc).

So I might have titled this submission "A durable, streaming agent framework".

[yaronsc]

Good suggestion, thank you