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We think that using event based agents will eventually become the standard. Currently most AI agent frameworks are essentially a single runtime and use "agents" as nodes in a "workflow". This design pattern is fine for most non-developers to automate tasks locally. However we believe that this pattern doesn't scale well especially for developers. Which is why our agents operate their own runtimes as microservices, and "workflows" are the abstraction layer above agents that allow you to connect and attach agents together to do real work (Workflows to-be-announced soon). We separate "workflows" & agents as different layers in the stack, we think this design pattern is the future of agentic.




Dagger (in Docker) had a idea like this while and Pydantic is using external state savers like Temporal.io there are a lot of directions good luck on yours !!

Pydantic also has a first party integration with DBOS, which doesn't require an external state server.

https://ai.pydantic.dev/durable_execution/dbos/




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