edgejev: 离线可用的本地类型化决策:4 核 CPU 单题 15.6ms。Local & offline Jev / System One inference on CPU

by yzfly · Agent Tool · ★ 30

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Security audit verdict: SAFE · quality 63/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

calibrated-probabilitiescpu-inferencedecision-modeledge-aiint8jevkevlayallm-inferencelocal-inference

Quick Facts

Stars30
Forks4
LanguagePython
CategoryAgent Tool
Quality Score63/100
Open Issues1
Last Updated2026-09-21
Created2026-09-20
Platformspython
Est. Tokens~10k

About edgejev

离线可用的本地类型化决策:4 核 CPU 单题 15.6ms。Local & offline Jev / System One inference on CPU — ONNX + INT8, no torch at runtime. 支持 laya / kev / PlayJev

Compatible Skills

These tools work well together with edgejev for enhanced workflows:

  • stuntd — semantic(0.33)+complementary+rare_topics+same_lang+similar_pop+shared_platform (75%)
  • jevk5 — semantic(0.26)+complementary+rare_topics+same_lang+similar_pop+shared_platform (68%)

edgejev alternative? Top 6 similar tools

Looking for a edgejev alternative? If you're comparing edgejev with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • stuntd by bladedevoff · ⭐ 73

    Local proxy that learns your app's typed LLM decisions and answers them with a Laya head. Jev and OpenAI compa

  • RSI-Jev by Shanghua-Gao · ⭐ 122

    Typed-decision models (noul / choice / score) trained by a self-improving loop of AI agents — checkpoints, the

  • Verdict-open-jev by Heman10x-NGU · ⭐ 112

    Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev be

  • awesome-jev by OmniJev · ⭐ 65

    🔥🔥 Papers, open reproductions and independent evaluations behind System One models and Jev.

  • InferrLM by loomax-labs · ⭐ 112

    InferrLM - On-device AI for iOS & Android

  • awesome-jev by AppitStudio · ⭐ 109

    Curated Jev resources and runnable examples for typed AI decisions.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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