Show HN: RLM-based local debugger for AI agent traces
Summary
Show HN: HALO introduces an RLM-based local debugger for AI agent traces. The HALO framework collects execution traces via OpenTelemetry, analyzes them with the HALO engine to identify harness failure modes, and generates targeted fixes via code-augmented prompts, enabling iterative improvement of agent harnesses. The project includes a desktop app, Python package, demos, and benchmarks (AppWorld) showing notable improvements in agent performance.