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Jev-Mem

markusnakamura56/Jev-Mem

System-One controlled agentic memory for long-running AI agents.

Agent Decisions0.91Runner-up: Scoring & RankingFunnel
Automated README summary

Automatically summarized from the README on 16 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

Jev-Mem is a memory system for long-running AI agents. It separates frequent memory-management decisions from deeper reasoning, organizing memories and guiding retrieval across semantic, temporal, causal, and entity relations.

How it uses Jev

Jev makes memory typing, relation judgments, query routing, budget allocation, candidate scoring, and evidence assessment. It takes the current memory state and typed questions (Choice/Noul) and returns calibrated probabilities. Code validates outputs and enforces graph and retrieval limits.

Primitives:choicenoul

Technique worth stealing

Separate frequent memory decisions (System One) from answer synthesis (System Two).

Try it

python -m jev_mem.demo

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectnot found in the excerpt0.29
  • Shows a System One patternnot found in the excerpt0.34
  • Describes handling uncertaintynot found in the excerpt0.07
  • Reports measured numbersnot found in the excerpt0.08
  • Is a runnable toolnot found in the excerpt0.30
  • Top-10 learning shortlist signalnot found in the excerpt0.22
  • Is a replica of the modelFound in material0.66
  • Solves a common problem (0–2)score on a 0–2 scale1.58 / 2
  • About JevFound in material0.90
Signals
Jev is core to the project0.29Shows a System One pattern0.34Describes handling uncertainty0.07Reports measured numbers0.08Is a runnable tool0.30Top-10 learning shortlist signal0.22Is a replica of the model0.6600.51Solves a common problem (0–2)1.58 / 2012

no-judgment band (0.40–0.60)

Design patterns
Funnel0.86Check-up0.49Inspection0.43Ghostwriter0.3100.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 16 Oct 2026.