TraceMotive: open-source debugger finds where two agent runs first diverge
Ruca_AI · reddit · 2026-08-26
A developer released TraceMotive v0.6.0, an open-source debugger for AI agent executions. It targets a specific pain point: an agent succeeds in one run and fails in another, and manually diffing two execution traces to find the first divergence is painful. TraceMotive compares the two runs and points to the first place where observed evidence actually supports starting an investigation.
v0.6.0 adds a simpler real-run workflow: tracemotive last "my-agent" finds the latest two exact-name runs and compares them with the existing engine. By design it avoids fake explanations — it never claims the first divergence caused the failure, and stays uncertain rather than guessing when evidence is insufficient. It's local-first with data in local SQLite. The author is soliciting feedback from people debugging multi-step agents.
More from coding & agent
- Musk amplifies dev's verdict: Grok Bot easier to use than Codex and Claude — elonmusk · 2026-10-15
- Blob0 launches: a macOS file-manager-style desktop client for S3 and Cloudflare R2 — yihui_indie · 2026-10-15
- The 6-Layer AI Engineer Skill Stack for 2026: Vectors to Multi-Agent Ops — mdancho84 · 2026-10-15
- Building a Mechanical Engineering Agent Workflow in ChatGPT: 30-Node Canvas Shows Promise — burhop · 2026-10-15
- Open-source Harness Engineering course hits 19k stars, shows $9 vs $200 gap between failing and working agent setups — thisguyknowsai · 2026-10-15
- A 6-person team shipped healthcare prior-auth AI agents in 3 months — here's the playbook — alex_verem · 2026-10-15