Ask HN: How are you orchestrating multi-agent AI workflows in production?

4•swrly•10h ago

I've been building AI agent pipelines for the past year and curious how others handle it. Specifically:

- Do you use a framework (LangChain, CrewAI) or roll your own - How do you handle agent-to-agent data passing? - What does your observability look like for agent runs? - Are you running agents on cron/webhooks or manual-only?

Interested in hearing what's working and what's painful.

Comments

kathir05•6h ago

We have been using AGNO framework for HuntYourTribe quite sometime. It is pretty much working out well for us. Minimalistic design for isolation, decoupling and control plane architecture.

swrly•6h ago

Interesting — I hadn't looked into AGNO closely. The isolation and control plane approach sounds solid. How do you handle observability? That's been one of the harder parts for us — knowing exactly which agent produced which output when something goes wrong in a multi-step pipeline.

Also curious if you're running agents on triggers (webhooks, cron) or mostly manual execution?

go4horizon•6h ago

We have our own lightweight abstraction for running and managing agents, ironically managed by an agent.

How do you handle agent-to-agent data passing? - We do have a memory concept for the pipeline we are in

What does your observability look like for agent runs? - locally, we are using our own test abstraction and eval. For production, we are using https://www.wayfound.ai

Are you running agents on cron/webhooks or manual-only? - webhook and cron when needed

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