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Jevmem — illescasdaniel

Long-term memory for AI agents whose reads and writes are driven by Jev's typed, probabilistic decisions instead of a generative LLM in the loop, inspired by the Jev-Mem paper and shipped as an MCP server, Claude Code hooks, a CLI and a Python library.
Stars
2
Language
Python
License
MIT
Reading time
2 min
Published by
Community
Author
illescasDaniel
Last verified
Oct 2026

illescasdaniel/jev-mem

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Long-term memory for AI agents driven by Jev (System One) decisions: no generative LLM in the loop. MCP server, Claude Code hooks, CLI, Python library.

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Updated Oct 2026

Repo stats from the GitHub API, cached Oct 2026.

This is one of several Jev listings for the same project. The canonical entry is Jevmem — Avinash-jetwani.

Highlights

  • Long-term memory where fast Jev questions (safety, note kind, contradiction, relevance, sufficiency) control the pipeline.
  • No generative LLM sits in the memory loop; the README claims fractions-of-a-cent costs and self-cleaning memory.
  • Follows the Jev-Mem paper (arXiv 2609.23986) design of splitting System One control from slower System Two reasoning.
  • Ships as an MCP server, Claude Code hooks, a CLI and a Python library; jevmem is published on PyPI.
  • MIT-licensed beta targeting Python 3.12+, with 2 stars, created 2026-10-03 and pushed 2026-10-06.

Watch out

README and GitHub metadata reviewed 2026-10-17; the digest truncates the System Two description and the install section, so setup, the full question set and benchmark numbers are not evidenced here.

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Hacker News: jevmem keeps Claude Code project memory by asking Jev which turns are worth saving.

avinashjetwani61 pointsJevmem – automatic project memory for Claude Code, built on JevRead the thread on Hacker News

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