1. 1

    The native CLI supports an interactive shell, scripted requests and embedding, with skills, MCP servers and subagents. Jev receives review policy, context and the pending action, returning a clear or caution decision for the permission pipeline.

    3.2K
  2. 2

    Minimal harness-agnostic recursive language model layer — one binary, Python + llm()

    Jev applicationPythonREADME.md:103 @0ac5f0d
    14
  3. 3

    Make the model you already use work more like a frontier model with better planning, persistent context, skills, hooks, failure handling, and verification.. Orchestrated Multi-Specialist Agentic Lifecycle Harness

    Jev applicationTypeScriptquickstart.py:3 @58bff0b
    7
  4. 4

    The data pipeline behind LinklyAI/best-skills — a daily, cross-ecosystem ranking of AI agent skills

    Jev applicationTypeScriptREADME.md:75 @3631d20
    1
  5. 5

    InferKit - An easy and advanced Apple inference toolkit - swappable backends (CoreML, MLX, Remote, Foundation Models), 119+ common on-device models. ObjC & Swift

    Jev applicationSwiftREADME.md:43 @072db70
    1
  6. 6

    金铲铲小战棋 - 纯网页自走棋小游戏,零依赖,双击即玩 | A tiny TFT-like auto-battler in vanilla JS

    Jev applicationJavaScriptREADME.md:61 @4effa54
    0
  7. 7

    Kalkulator Rezyliencji FNP - ile Twoja organizacja traci na milczeniu? Współpraca Fundacji Nowe Przestrzenie i Pawła Mamcarza

    Jev applicationJavaScriptREADME.md:46 @c9fdafc
    0
  8. 8

    Risk-based TDD skill and advisory testing tools for Pi

    Jev applicationTypeScriptREADME.md:177 @15f228a
    0