Search Results for "openai codex"

OpenAI Codex CLI is a lightweight, open-source coding assistant that runs directly in your terminal, designed to bring ChatGPT-level reasoning to your code workflows. It allows developers to interactively query, edit, and generate code within their repositories, all while maintaining version control. The CLI can scaffold new files, run code in sandboxed environments, install dependencies, and commit changes automatically, streamlining chat-driven development.

Codex Security is an OpenAI command-line tool and TypeScript SDK for discovering, validating, and fixing vulnerabilities in source code. It can scan an entire repository, review code changes, and preserve findings across repeated security assessments. Developers can run it interactively from a terminal or embed it in automated CI workflows.

OpenAI Plugins is a curated collection of Codex plugin examples. It is designed to show developers how plugins can be structured, packaged, and extended for Codex-based workflows. Each plugin follows a consistent layout with a manifest and optional supporting surfaces such as skills, commands, hooks, assets, agents, and MCP configuration.

...The system is positioned as a routing layer that compares outputs from multiple models and selects a cost-conscious answer that meets quality expectations. It supports installation for Claude Code, Cursor, Codex CLI, OpenClaw, and all supported tools through a single installer. Developers can also build on top of it with the SDK and OpenAI-compatible or Anthropic-compatible request patterns. It is useful for users who want a centralized model-routing layer across coding tools, scripts, and agent workflows.

PAL MCP is an open-source Model Context Protocol (MCP) server designed to act as a powerful middleware layer that connects AI clients and tools—like Claude Code, Codex CLI, Cursor, and IDE plugins—to a broad range of underlying AI models, enabling collaborative multi-model workflows rather than relying on a single model. It lets developers orchestrate interactions across multiple models (including Gemini, OpenAI, Grok, Azure, Ollama, OpenRouter, and custom/self-hosted models), preserving conversation context seamlessly as tasks evolve and substeps run across tools. ...

Orbi takes a GitHub Issue from label to release. When an Issue is marked ai-ready, Orbi builds the change in a dedicated worktree and opens a pull request. A reviewer agent, separate from the one that wrote the code, compares the PR with the Issue's acceptance criteria and repairs it. Orbi then merges only that reviewed head and publishes a tagged GitHub release. It is installed from the GitHub repo, with the CLI on PyPI as orbi-cli and Docker images on GHCR and Docker Hub, and can also be...