Show HN: RLM-based local debugger for AI agent traces

Category: devtools

Tags: ai-agents, debugging, observability, rlm, trace-analysis, openai-compatible

Score: 7.3/10 (Innovation: 8, Technical: 7, Documentation: 7, Utility: 7)

HALO is a desktop app and methodology for debugging and improving AI agent systems by analyzing production traces using a specialized RLM (Recursive Language Model). It offers a unique approach to iteratively find failures and bottlenecks in agent harnesses, generating actionable reports that can be used with coding agents to deploy fixes.

Target audience: AI/ML engineers, agent developers, backend devs

Repository: https://github.com/context-labs/halo · TypeScript · 910 stars

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