Hermeneutic tool turns past AI corrections into guidance for future coding tasks

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Hermes Labs has released Hermeneutic, an open-source tool that mines user corrections from AI coding agent conversations to build a reusable context library. When a user steers an agent back on track — such as limiting it to a review rather than a full refactor — Hermeneutic records that correction and its surrounding exchange. Using Ollama embeddings, the tool matches new prompts against past corrections and surfaces relevant guidance as a compact preamble before the task begins. It supports logs from Claude Code, Codex, and OpenAI-format sources, and categorises recurring issues like scope expansion or missed constraints. An optional Claude Code hook can automatically inject retrieved guidance into new prompts, and the tool is available via pip as version 0.1.12.

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