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

We built HALO (Hierarchal Agent Loop Optimizer), an open-source tool for debugging and optimizing AI agents using their execution traces. It’s a loop. Run your agent, feed the traces to HALO, get the report, apply the fixes, then re-run your agent. HALO takes in OTEL compliant traces from AI agents using tracing frameworks such as Langfuse, Arize/OpenInference, or even just plain JSONL. It uses an RLM (Recursive Language Model) to more efficiently break trace analysis into smaller subproblems in

2026-06-24 原文 →
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Formula E’s new season is starting to look more like F1

The next season of Formula E will feature a new race format and three new race locations when it starts in December to go with the new Gen4 electric cars. The schedule released today by the FIA includes the Circuit of the Americas in Austin, the Brands Hatch circuit in Kent, and the Zandvoort circuit […]

2026-06-24 原文 →