Tuesday, February 24, 2026

Show HN: AgentDbg - local-first debugger for AI agents (timeline, loops, etc.) https://ift.tt/AmSlWYw

Show HN: AgentDbg - local-first debugger for AI agents (timeline, loops, etc.) AgentDbg is a local-first debugger for AI agents. It records structured runs (LLM calls, tool calls, state, errors) to JSONL and shows the timeline UI locally. There is no need for cloud, accounts, and no telemetry. Flow is as simple as: 1. Run an agent 2. `agentdbg view` 3. Inspect the timeline, loop warnings, errors, etc. v0.1 includes `@trace` and `traced_run`, recorders, loop detection, best-effort redaction (by default), local UI, export. I also started working on integrations: there is an optional LangChain/LangGraph callback. * Repo: https://ift.tt/yhHd5cL * Demo: `python examples/demo/pure_python` and then `agentdbg view` Would love feedback on: 1. Trace format 2. Integrations to prioritize in the next several days 3. What you would want for deterministic replay https://ift.tt/yhHd5cL February 23, 2026 at 11:14PM

No comments:

Post a Comment

Show HN: Open-source model routing for coding agents at Astra-level performance https://ift.tt/1B89J7V

Show HN: Open-source model routing for coding agents at Astra-level performance A few months ago we started building a model router for codi...