omium

What it does

Make AI failures visible and recoverable. omium provides observability and reliability for production AI agents with execution checkpointing, AI-powered fix, and seamless recovery from any checkpoint.

Your agent reports success. Omium checks your database to see if it happened, and re-runs the writes that never landed.

Your agent marks the run complete. The invoice was never created. Omium checks every write against your database and re-runs the ones that never landed. Real-time diagnostics and anomaly detection for your agent swarm. Tracing logs what the agent said it did. Evals run in staging. Neither one opens your database to check that the row is there. The SDK goes in beside your agent. Nothing about the agent changes. Point our SDK at your agent. On LangGraph it's a drop-in. Everything else takes a 30-line adapter. We replay the run with variations to find the step that broke. Runs marked complete get replayed too. We open your database and look for the orders row. If it isn't there, the fix is…from omium.ai

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  Omni by xpanderAug 2026 · chat.xpander.ai · ▲372

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  Tracium.aiMar 2026 · tracium.ai · ▲70

  Hi everyone, thanks for checking out tracium. At work I needed some clarity on how much each agent costs us and how they perform on production so I started looking at existing solutions for this such as LangSmith and LangFuse. Honestly, they felt like they are overcomplicated to integrate and that there should be a simpler solution so I decided to build Tracium. Tracium keeps track of every single AI API call that you make to an LLM provider, with this you can see traces, spans, I/O, tokens in/out, latency. You can compare during A/B testing, see usage from each customer and…

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