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ToolsThe story, in brief

Show HN: Kelet – Root Cause Analysis agent for your LLM apps

Not a pilot. Kelet automates root cause analysis for AI agents in production—turning 'why did it fail' from manual trace-scrolling into automated hypothesis clustering across hundreds of sessions.

Reporting by Hacker News 1 min brief
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AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

As AI agents proliferate in production, observability and debugging become competitive advantages. Kelet addresses a real operational pain point: agents don't crash; they silently fail. This tool abstracts failure investigation, letting teams move faster from 'something broke' to 'here's the fix.' Relevant to any company running multi-session agent workloads.

The key facts

6 to know

  1. Creator claims 50+ production AI agents built, some with 1M+ sessions/day

  2. Kelet clusters hypotheses across multiple failed sessions to surface root causes

  3. Integrates via Kelet Skill (auto-discovery for coding agents), Python SDK, TypeScript SDK

  4. Currently free during beta, no credit card required

  5. Show HN post (early-stage, founder-led announcement)

  6. Published Apr 14, 2026

Go to the source

Hacker Newskelet.ai

Publisher excerpt: I've spent the past few years building 50+ AI agents in prod (some reached 1M+ sessions/day), and the hardest part was never building them — it was figuring out why they fail. AI agents don't crash. They just quietly give wrong answers. You end up scrolling through traces one by one, trying to find…
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