Show HN: RLM-based local debugger for AI agent traces
HALO is a new open-source tool designed for debugging and optimizing AI agent traces in production environments. It uses a specialized RLM-based methodology to identify systemic issues in agent behavior that general-purpose coding assistants might miss.
Why it matters
As AI agents become more prevalent in production, specialized observability tools are critical for maintaining reliability and debugging complex, long-running agentic workflows.
✨ RLM-based agent optimizer using production traces✨
Technical documentation and product announcement with no political or social framing.
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