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Jevmory

Local memory layer that stores verbatim agent quotes in per-project SQLite and grades them with Jev into stale, wrong, unsupported, or keep verdicts.

Stars
11
Language
Python
License
MIT
Published by
Community
Author
romiluz13
Last verified
Oct 2026

About this project

Local, zero-dependency memory layer for coding agents. Every remembered fact is a verbatim quote graded by TypeSafe Jev's calibrated confidence — and every number has a receipt.

Quoted from the project's README. Read the full README.

Highlights

  • Verbatim facts with context, so memory cannot invent wording from past sessions.
  • Per-project SQLite with full-text search plus redaction at rest before storage.
  • Deterministic VERIFIED anchoring for exact matches saves API spend on the rest.
  • Receipts in runs and judgments tables trace every reported number to its call.

Watch out

Grading needs an explicit per-project opt-in and API key or local backend; without it candidates only queue and nothing leaves the machine. Copy reviewed against the repository README on 2026-10-04, not from running it.

Questions about this entry

Short answers drawn from the linked project or page.

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From the Jev guides

Original write-ups on what this entry is for.

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A Noul returns one number and no separate confidence. How to read the value, pin its boundary with criteria, split compound questions, and set a per-action threshold that matches the cost of being wrong.
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A Score is a weighted position, not a ruler. Why the number can land between levels, why levels are judged separately, and how to combine several atomic scores in code instead of one crowded rubric.
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