A free GitHub project directory for the TypeSafe Jev / System One model.Explore official SDKs, agent tools, open-source alternatives and Jev news.

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Projects tagged with “llm-agents”

Browse Jev GitHub projects tagged with llm-agents. Filter, sort and explore their source repositories.

  • Browser automation where an LLM plans and Jev (Typesafe System One) decides. Library, CLI and MCP server.

    Ying-Kai-Liao/jev-browser · JavaScript

    11120
    javascriptbrowser-automationllm-agentsmcp
  • Pure Jev that can "type" and drive towards task completion.

    buluoray/JevOnly · Python

    50
    browser-agentllm-agentsplaywrightpython
  • DSH plugin: register TypeSafe Jev (System One decision model) as an agent tool — jev_decide returns calibrated probabilities (noul/choice/score) for routing/triage/guardrail judgments, no text generation. 把 TypeSafe Jev 决策模型注册为 DSH agent 工具

    nanami-0713/dsh-jev-decide · JavaScript

    42
    deepseek-harnessdsh-pluginllm-agentsjavascript
  • Long-term memory for AI agents on Jev. Keep raw records, judge them with a fast System 1 model and answer from under 4k tokens of context.

    Grivn/mnemon-memory-agent · TypeScript

    40
    agent-memoryai-agentscontext-engineeringdeepseek-harnessdsh-plugindual-processllm-agents
  • High-speed dual-process browser agent combining sub-150ms Jev reflex decisions with Stagehand stealth automation and Gemini/Claude System 2 fallback.

    adnanahmaddev/system-one-browser-agent · TypeScript

    40
    browser-automationbrowser-useclaudegeminillm-agentsplaywrightstagehand
  • A verified browser agent: a cheap Jev guard (evidence-checked completions, a destructive gate) in front of any LLM browser driver, with Jev taking the mechanical steps in dual mode. Built on browser-use; every number pre-registered and measured.

    Tom-R-Main/Footwork · Python

    21
    browser-agentbrowser-automationbrowser-usedual-processllm-agents
  • Decisões tipadas em milissegundos com o Jev (System One da TypeSafe) via OpenRouter — state + perguntas noul/choice/score entram, decisões calibradas saem. Validação pesada baseada nos conceitos do modelo, bandas auto/hitl/abstain, deteção de prompt injection e servidor MCP. Zero dependências (Node ≥20).

    frederico-kluser/jev-agent-skill · Python

    10
    agent-skillsai-agentsdecision-modelllm-agentsmcpnodejsopenrouter
  • Verbatim context compaction for OpenClaw: a context engine powered by TypeSafe's Jev. Drops stale tool calls and results, never summarizes.

    SqaaSSL/openclaw-jev-compaction · TypeScript

    10
    compactioncontext-enginellm-agentsopenclawopenclaw-plugintypescript
  • Prune-not-summarise context compaction for Claude Code, guided by Jev (TypeSafe System One)

    HAR5HA-7663/jev-compact · TypeScript

    00
    claude-codecompactioncontext-windowllm-agentstypescript
  • System One (TypeSafe Jev) decision tool for DeepSeek Harness — bounded choice / noul / score judgments as an agent tool + skill.

    ZhengSJCode/jev-dsh · JavaScript

    00
    agent-toolsdecision-makingdeepseek-harnessdsh-pluginllm-agents
  • Pokemon Red played by Jev, a model that only outputs probabilities. Based on valentynkit/jev-plays-pokemon-red (MIT).

    BrickerP/jev-plays-pokemon-red · Python

    00
    emulatorgameboyllm-agentspokemonpyboypython
  • AI agent that plays Super Mario Bros with TypeSafe Jev - a typed decision model reading NES RAM instead of pixels, verified by emulator rollback search. Clears 1-1 to 1-4 and 2-1 for ~$0.02.

    VBS2004/jev-plays-super-mario-bros · Python

    00
    ai-agentsdecision-modelemulatorgame-aillm-agentsnespython
  • Jev plays a slot machine until the money runs out. The local version of jevslots.live.

    ella0333/jev-slot-machine · JavaScript

    00
    gamblingllm-agentsslot-machinejavascript
  • A TypeSafe Jev decision model flying U.N. Squadron (SNES, 1991) from raw WRAM via BizHawk + Lua + Python

    cbroker1/jev-un-squadron · Python

    00
    bizhawkgame-aillm-agentsluareverse-engineeringsnespython
  • Guardrails de input, tool call y output para agentes de IA con un modelo System One tipo Jev (laya-pt-es-typed) autoalojado en una NVIDIA L4: 5 ms por check frente a 140 ms de un LLM-as-a-judge.

    javimp2003/laya-guardrails · Python

    00
    ai-safetyfastapiguardrailslayallm-agentsllm-as-a-judgenvidia-l4

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