Show HN: Transform Claude/Codex/Cursor sessions into high-value data assets

Category: security

Tags: ai-workflow, data-capture, encrypted-vault, local-privacy, session-recording

Score: 7.3/10 (Innovation: 6, Technical: 8, Documentation: 8, Utility: 7)

DataMoat is a local encrypted vault that captures and preserves AI-assisted work sessions from tools like Claude CLI, Codex, and Cursor, turning transient transcripts into private, searchable data assets. It offers strong on-device encryption, a unified schema for cross-tool search, and hardware-backed authentication, addressing the emerging need to retain AI work traces for future agent training and review. The project is interesting for its focus on data ownership and its practical approach to capturing ephemeral AI interactions in a secure, reusable format.

Target audience: backend devs, devops, data engineers

Repository: https://github.com/max-ng/datamoat · TypeScript · NOASSERTION · 10 stars

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