Okareo
Error discovery & evaluation for AI Agents
Okareo launched on April 9, 2025 with 127 votes, #360 of 7,818 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Real-time LLM behavioral alerts and structured debugging for agents and RAGs
Synthetic users that find the edges before your customers do. Voice, text, and headless agents; tested, evaluated, and monitored on one platform.
Does a similar job
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TrailsJan 2026 · trails-red.vercel.app · ▲81Hey all, Justin here. I previously built Phind, the AI search engine for developers. One of the biggest problems we had there was figuring out what went wrong with bad searches. We had tons of searches per day, but less than 1% of users gave any explicit feedback. So we were either manually digging through searches or making general system improvements and hoping they helped. This problem gets harder with agents. Traces are longer and more complex. It takes more effort to review them, so I'm building a tool that lets you analyze LLM outputs directly to help developers of LLM apps and agents…


Hexar.ai2025 · hexar.ai · ▲15Hello Folks, since quite a while we had been working on an interesting problem which we have experienced and is known industry wide. As someone who works in autonomous robotics, we’ve seen how hard it is to debug hardware + software + behavior when systems fail in the field. Logs aren’t enough. Docs are scattered. People waste time hunting instead of fixing. Also leadership and development teams lacks track of what's the ground-level situation. This all info will be at one place. I'm super excited to finally share Hexar.ai, a canvas based intelligent tool we've been building to help teams…
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