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Governed context projection for AI work: receipts for what AI tools are allowed to see.

4 starsPython

CtxVault – local receipts for AI context handoffs

by LuxBennu·May 7, 2026·3 points·0 comments

AI Analysis

MidCozy

Deterministic context receipts show what AI sees, but the workflow feels manual and niche.

Strengths
  • Receipt-backed handoffs provide audit trails for exactly which files reached the AI model.
  • Token budget previews and source-conflict detection prevent accidental over-sharing.
Weaknesses
  • No model integration means you still need separate tools to actually run the AI work.
  • Complex receipt chain may be overkill for individual developers not managing compliance.
Target Audience

Developers concerned about AI context leakage and token waste

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