Developer Builds Local Reasoning Graph Tool to Stop AI Agents Repeating Rejected Decisions
A developer created NodeDex, an open-source local graph tool designed to track the reasoning history of AI coding agents, including why certain decisions were made or discarded. The tool addresses a specific problem where AI agents confidently re-propose solutions that were already tried and rejected, which the developer describes as a status problem rather than a simple memory recall issue. NodeDex stores decisions along with their rationale and records superseded choices via directional edges, preventing agents from treating outdated conclusions as current. Built on local SQLite under an AGPL license, the project graph never leaves the user's machine and can be tested in 60 seconds via a demo command without an API key. The solo-built tool has been on npm for only three days, with the developer actively seeking real-world feedback on whether agents check dead-end records unprompted.
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