omium
Auto-recovery for AI agents failures
25 followers
Auto-recovery for AI agents failures
25 followers
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.
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Launch Team
Floot MCPBuild and ship web and mobile apps inside Claude or ChatGPT
Promoted
Hey PH 👋 Anurag here, built omium together with my co-founder Benjamin.
Honestly this started from pure frustration. We were building AI agents and kept hitting the same wall where something would break in production and we had zero idea why. Just digging through logs, trying to replay runs manually, spending hours figuring out what one agent decided three steps back.
The weird thing is we have great observability for normal software. But for AI agents which are way more unpredictable? Nothing really built for them.
So that's what we set out to fix.
We built something inside Omium called RIS (Runtime Intelligence System). It watches how your agents think and act in real time, saves checkpoints during runs, and when something breaks you can see exactly where and recover from that point instead of starting over. Our system do the auto-recovery reducing 15 hrs of human work to 12 mins.
Right now it covers things like full execution path tracking, understanding why failures happen, checkpoint recovery for long agent runs, and catching issues before they snowball.
We're still early and honestly building this alongside people actually shipping agents in production. Every conversation has changed something about how we're building it.
One thing I'm genuinely curious about: what's the most painful thing you've dealt with running AI agents in production? Could be anything, a silent failure, something breaking mid-run, weird behavior you couldn't explain.
Drop it below, would love to hear it 👇