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Cortex gives AI coding agents persistent local memory to avoid repeated re-derivations

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A developer built Cortex, a local memory layer for AI coding agents, after repeatedly watching agents re-derive the same context within and across sessions. Existing cloud-based memory solutions were ruled out because they required sending proprietary code off-device. Cortex addresses this with an on-device capture policy that deduplicates and normalises information before storing it. The tool includes a dashboard that surfaces blocked work first alongside explainable search results. The project is in early stages, with the developer sharing the repository and inviting community feedback.

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Cortex gives AI coding agents persistent local memory to avoid repeated re-derivations · ShortSingh