Ask HN: How are you orchestrating multi-agent AI workflows in production?
4 points
8 hours ago
| 2 comments
| HN
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.

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go4horizon
4 hours ago
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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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kathir05
4 hours ago
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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.
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swrly
4 hours ago
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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?

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