ai-devkit vs agent-bridge
ai-devkit: AI DevKit is a local-first operating layer for teams running several coding agents. One .ai-devkit.json reconciles skills, MCP and setup across Claude Code, Codex CLI, Gemini CLI, opencode, Pi, Cursor, Copilot and others; agent console is a live TUI for running sessions; agent send routes prompts, logs or stdin to a running agent; and a local SQLite memory is searched over MCP when needed. A dev-lifecycle skill guides requirements, design, planning, implementation, testing and review.; agent-bridge: AgentBridge uses a two-process architecture with a foreground MCP client (bridge.ts) and a persistent background daemon (daemon.ts). It enables bidirectional communication between Claude Code and Codex via a control WebSocket and proxy, with automatic reconnection and message loop prevention.
TL;DR
Keeping one setup across Claude Code, Codex and Cursor in a team repo
Connect Claude Code and Codex in a single workflow for collaborative development
Side-by-Side Comparison
Features
Use Cases
FAQ
Deploy on DigitalOcean
Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.