CLI & Pipelines

13 · Public sources and integration logic reviewed.

• SemDecide

  sharziki · CLI & Pipelines

  A Python CLI for semantic predicates, routing, scoring and filtering over text or JSONL.

• TypeSafe AI Playground

  markjaquith · CLI & Pipelines

  Rust CLI experiments for health-information screening, comment review, tone analysis and business or occupation classification.

• jev-cli

  tumf · CLI & Pipelines

  A CLI and stdio MCP server for typed Jev judgments over text or JSON.

• jev-cli

  jtsang4 · CLI & Pipelines

  A CLI for asking Jev classification, yes/no and scoring questions over text or JSON input.

• jev-code

  rhighs · CLI & Pipelines

  An experimental coding CLI where Jev selects AST productions for Python or Bash, with a separate command-line decision mode.

• jevscript

  amberwhitehead · CLI & Pipelines

  An early language experiment whose current implementation is a Jev request-batching spike.

• orchestkit

  yonatangross · CLI & Pipelines

  OrchestKit can optionally use Jev to classify coding sessions and set their colors when confidence meets a threshold.

• jev-cli

  Nasrallah-AL · CLI & Pipelines

  The jevctl command-line tool connects verification, classification and scoring questions to text input and scripts.

• rift

  exYze · CLI & Pipelines

  An optional TypeSafe decision client in the Rust coding terminal Rift for bounded Jev judgments.

• jev-axi

  shiftynick · CLI & Pipelines

  A CLI for Jev pick, rate, check, rank, triage, and guard tasks, with optional hooks before Agent tool calls.

• jev-superpowers

  AkashPriyadarshii · CLI & Pipelines

  Software development framework for coding agents enhanced with Jev for dependency vetting, completion gates, and debugging decisions.

• jev-shell-history

  mrnugget · CLI & Pipelines

  Fish-style Zsh history suggestion tool ranked by Jev, ordering candidate commands from local history based on context.

• JevBrowserExt

  chy4pro · CLI & Pipelines

  Core use case: Chrome extension (Manifest V3) port of browser-use/jev-ultrafast. Jev picks the browser operation and the DOM element in one request per step; a small text model writes TYPE_TEXT values; it runs in the user's own tabs via OpenRouter, TypeSafe or Cloudflare Workers AI. MIT.