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

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.

4 points | by swrly 14 hours ago

6 comments

  • go4horizon 10 hours 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

  • kathir05 10 hours 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 10 hours 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?

  • tatrions 13 hours ago
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  • jamiemallers 13 hours ago
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  • darshil2023 13 hours ago
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  • chonle 12 hours ago
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