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Cursor + decision models

The Cursor AI code editor. Integrations are rules, MCP servers or hooks that call a decision model from the editor agent.

94 public projects · page 3 of 4

  • Local-first meeting transcription and conversation memory app whose live voice path runs its evaluations through Jev.

    AppbetaRust
  • MCP server giving agents typed Jev decisions (ask, choice, score, noul, batch) with calibrated probabilities via the OpenJEV API.

    MCP serverbetaTypeScript
  • Semantic code linter that reads each method with its callers and callees and asks decision models about defects, kind, line and severity.

    CLIbetaTypeScript
  • macOS menu bar screen-time app that asks Kev or Jev whether each screen breaks your rules and steps in with a pop-up.

    ServicebetaPython
  • Local-first MCP server that returns only Jev-checked passages from big PDFs, Word files and spreadsheets, with exact row calculations.

    MCP serverbetaTypeScript
  • Tool-call firewall for Claude Code hooks and MCP servers: Jev answers seven risk questions and code maps them to allow, ask or deny.

    MCP serverbetaTypeScript
  • MCP server exposing Jev as a single evaluate tool for Claude Code, Codex, OpenCode, Antigravity or Cursor.

    MCP serverbetaRust
  • Bun-based MCP server wrapping Jev with compact answers and a code-computed act, review or abstain verdict.

    MCP serverbetaTypeScript
  • Desktop app running coding agents in parallel git worktrees, with optional Jev judgments of each changed file against the task.

    Appbeta
  • Agent skill that makes a coding agent try Jev first for bounded judgments like classify, rank or gate, and log each attempt.

    Agent skillbetaPython
  • CLI that filters coding-agent subscriptions by quota and policy, then asks TypeSafe to rank the rest and pick a reasoning effort.

    ProjectprototypeTypeScript
  • MCP server that finds relevant code with Jev Choice and Noul checks instead of grep sweeps, and audits diffs against task intent.

    MCP serverprototypePython
  • Cost-, cache- and quota-aware LLM router that classifies each turn with a Jev-class model, prices every route, and checks cheap answers.

    ProjectprototypePython
  • CLI, MCP server and skill for issue triage where Jev predicts issue kind, affected module and whether information is sufficient.

    MCP serverprototypePython
  • Agent skill and local jb command that drive an isolated Playwright Chromium, with Jev choosing in-page actions for a narrow goal.

    Agent skillprototypeTypeScript
  • Jev Router for Cursor: Jev picks a COST, BALANCED or INTELLIGENCE tier per task, with soft routing in chat and hard routing via the SDK.

    ProjectprototypeTypeScript
  • Agent skill that predicts which closed-set outcome another skill would reach, by asking Jev instead of running that skill.

    Agent skillprototype
  • CLI that asks Jev which AI app should handle a task (Claude, ChatGPT, Cursor or Antigravity), then opens it and pastes the prompt.

    ProjectprototypePython
  • Local-first, outcome-aware model router for coding harnesses that picks a capability tier per task with Jev and learns from history.

    ProjectprototypeRust
  • Python dialect that adds a '~' operator and jev/case blocks so a branch can ask Jev a yes/no, scale or choice question.

    ProjectprototypePython
  • Swift library and CLI for Jev with enum-typed Choice, Noul and Score questions, plus an agent skill for coding agents.

    CLIproductionSwift
  • Python MCP server wrapping Jev as classify, score, check, match and screen tools with confidence on every answer.

    MCP serverbetaPython
  • Local MCP server putting Jev in the coding loop: route next steps, pick prepared tool calls, review patches and verify claims.

    MCP serverbetaTypeScript
  • MCP server, CLI and Claude Code skill with Choice, Score and Noul primitives and a confidence gatekeeper, hosted or offline.

    MCP serverbetaTypeScript
  • Python decision gateway and stdio MCP server exposing Jev via OpenRouter's alpha Decisions endpoint to Claude Code, Codex and Cursor.

    MCP serverbetaPython
  • Agent skill and CLI that converts plain requirements, LLM prompts or prompt-calling code into a typed Jev request and runnable script.

    Agent skillbetaPython
  • Zero-dependency Node bridge that exposes Jev through an OpenAI-compatible API, plus a CLI, code-audit tool and auto-fix loop.

    CLIbetaJavaScript
  • Zero-dependency library that numbers a text's words so Jev can pick them, returning exact substrings for extraction and PII.

    DemoprototypeTypeScript
  • Local MCP server giving Claude Code, Codex, Cursor and OpenCode per-dimension Jev quality scores on their code while they work.

    ServicebetaTypeScript
  • Open 0.8B and 2B Qwen3.5 decision models with a local systemone-compatible server, MCP tools, agent skills and a Claude Code guard.

    ServicebetaPython