Global CLI wrapper for the Codex Code Python workspace
<p align="center"><code>npm i -g @openai/codex</code><br />or <code>brew install --cask codex</code></p> <p align="center"><strong>Codex CLI</strong> is a coding agent from OpenAI that runs locally on your computer. <p align="center"> <img src="https://
<p align="center"><code>npm i -g @openai/codex</code><br />or <code>brew install codex</code></p>
<p align="center"><code>npm i -g @ai-nd-co/codex</code><br />or <code>brew install --cask codex</code></p> <p align="center"><strong>Codex CLI</strong> is a coding agent from OpenAI that runs locally on your computer. <p align="center"> <img src="https:
<p align="center"><code>npm i -g @openai/codex</code><br />or <code>brew install codex</code></p>
Codex CLI is a coding agent from OpenAI that runs locally on your computer.
Cross-review between Claude Code and Codex CLI. Provides /codex-review in Claude Code and claude-review skill in Codex CLI.
<p align="center"><code>npm i -g @agent-lite/codex</code></p> <p align="center"><strong>Codex CLI</strong> is a local coding assistant maintained by Agent Lite. </br> For more information, visit https://agent-lite.com</p>
<p align="center"><code>npm i -g @peezy.tech/codex</code></p> <p align="center"><strong>Codex CLI</strong> is a coding agent from OpenAI that runs locally on your computer. <p align="center"> <img src="https://github.com/peezy-tech/codex/blob/code-mode-
<p align="center"><code>npm i -g @openai/codex</code><br />or <code>brew install --cask codex</code></p> <p align="center"><strong>Codex CLI</strong> is a coding agent from OpenAI that runs locally on your computer. <p align="center"> <img src="https://
An ACP-compatible coding agent powered by Codex
<p align="center"><code>npm i -g @openai/codex</code><br />or <code>brew install --cask codex</code></p> <p align="center"><strong>Codex CLI</strong> is a coding agent from OpenAI that runs locally on your computer. <p align="center"> <img src="https://
<p align="center"><code>npm i -g @lavilas/codex</code></p> <p align="center"><strong>Lavilas Codex</strong> is a coding agent by Lavilas that runs locally on your computer. <p align="center"> <img src="https://github.com/openai/codex/blob/main/.github/c
<p align="center"><code>npm i -g @lavilas/codex</code></p> <p align="center"><strong>Lavilas Codex</strong> is a coding agent by Lavilas that runs locally on your computer. <p align="center"> <img src="https://github.com/openai/codex/blob/main/.github/c
Dozens of cute icons made with love by CodeX for your projects.
Telegram bridge bot to run local Codex/Claude CLIs
<p align="center"><code>npm i -g @openai/codex-responses-api-proxy</code> to install <code>codex-responses-api-proxy</code></p>
TypeScript SDK for Codex APIs.
<p align="center"><code>npm i -g @zhangyvjing/infinity-codex</code><br />or <code>brew install --cask infinity-codex</code></p> <p align="center"><strong>infinityCodex CLI</strong> is a coding agent from OpenAI that runs locally on your computer. <p align
TypeScript loader for cosmiconfig
Codex CLI integration for Ruflo (claude-flow) - OpenAI Codex platform adapter
Lean output compaction for terminal-heavy agent workflows.
Lightweight npm wrapper for Codex Code Monitor (Python runtime required)
<p align="center"><code>npm i -g @flowerrealm/realmx</code><br />or <code>brew install --cask codex</code></p> <p align="center"><strong>Realmx CLI</strong> is a coding agent from OpenAI that runs locally on your computer. <p align="center"> <img src="h
A tightly typed Rust interface for the OpenAI Codex CLI JSON protocol
Minimal Codex CLI adapter for GitHub Copilot's Responses API endpoint.
Ralph Wiggum Loop - Iterative AI development with AI agents. An autonomous agentic loop that drives Claude Code, Codex, and OpenCode.
Clean interface to discover configuration file locations forAI coding assistants (Claude Code, OpenCode, Codex). Shows global and project config paths, handles environment variable overrides, and determines which config is effective based on precedence rules.
cangming-ai-dev-kit provides cross-agent development skills (plan-first, safe-code-change, code-review, verify-before-done), domain-specific knowledge (Flutter/Dart, HarmonyOS/ArkTS/ArkUI), and shell scripts. Install with `gem install` and use the CLI to sync skills to Claude Code or Codex.
Ralph Wiggum Loop - Iterative AI development with AI agents. An autonomous agentic loop that drives Claude Code, Codex, and OpenCode.
Extends ace-llm with CLI-based LLM providers like Claude Code, Codex, Gemini CLI, OpenCode, and pi-agent
rails-ai-context turns your running Rails app into the source of truth for AI coding assistants. Instead of guessing from training data or stale file reads, agents query 38 live tools (via MCP server or CLI) to get your actual schema, associations, routes, inherited filters, conventions, and test patterns. Semantic validation catches cross-file errors (wrong columns, missing partials, broken routes) before code runs — so AI writes correct code on the first try. Auto-generates context files for Claude Code, Cursor, GitHub Copilot, OpenCode, and Codex CLI. Works standalone or in-Gemfile.
A Ruby library that provides a unified interface for discovering and accessing skill configuration paths for 49+ AI coding agents including Cursor, Claude Code, Codex, Windsurf, and more. Handles platform-specific path resolution, environment variable support, and automatic detection of installed agents.
Embeds a FOSM-aware MCP server and ACP agent into your Rails development environment, giving coding agents (Claude Code, Codex, Copilot) runtime intelligence: database queries, logs, code evaluation, and deep introspection of FOSM lifecycle definitions, state machines, transitions, guards, and audit trails. Built on the FOSM (Finite Object State Machine) paradigm — declarative lifecycles for business objects where AI agents operate within bounded, auditable state machines.
Interactive rake tasks to generate context files for AI coding assistants (Claude, Cursor, Windsurf, Codex, llm.txt). Uses RubyLLM to analyze your codebase and create platform-specific context that helps AI understand your project.
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