Turn ChatGPT into a local agent runtime. Operate your computer, use local tools, discover MCP servers, and delegate work to your own models through one MCP connection.
Turn ChatGPT into a local agent runtime. Operate your computer, use local tools, discover MCP servers, and delegate work to your own models through one MCP connection.
[!NOTE] OpenChatX runs inside a normal ChatGPT conversation and does not use Codex as its execution backend. OpenChatX itself therefore does not consume Codex task usage; your ChatGPT plan, message limits, and other usage policies still apply and may change over time.
[!CAUTION] openchatx-mcp runs with the permissions of your local operating-system user. An authorized ChatGPT caller can run commands, edit files, fetch webpages, and control connected tools and applications.
ChatGPT is the planner. OpenChatX gives it hands.
I use AI agents heavily for real development work, and I once burned through 100% of my Pro 20x Codex Weekly Usage in about half a day. I did not want my entire workflow tied to the usage limits of a single agent runtime, so I built OpenChatX: ChatGPT can work directly with my local machine, tools, MCP servers, and models from a normal conversation instead of requiring Codex as the execution backend.
- Local execution — run shell commands, edit files, inspect images, and use an interactive terminal on macOS or native Windows. - MCP aggregation — connect local stdio and remote HTTP MCP servers behind one ChatGPT connection. - Capability discovery — ChatGPT knows Blender, Unreal, browser automation, and other capabilities exist without loading every tool schema into context. - Toolboxes — add your own TypeScript tools and reusable skills as folder-backed plugins. - Provider-backed subagen
From the project README.
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Local credential control for AI coding agents.
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