github.com/PawanOsman/OpenCursor @0.0.2

The open-source AI coding agent for VS Code — built local-first.

Chat with an agent that reads your workspace, edits files, runs commands, and searches your codebase semantically. Use your Claude / ChatGPT / Gemini subscription, any API key, or run completely offline with llama.cpp and Ollama.

Install · Local AI · Providers · Features · Contributing

🔌 100% Local AI

OpenCursor is designed to work without internet once set up:

• 🦙 llama.cpp built in — search Hugging Face for GGUF models, pick a quantization, download, and OpenCursor spawns and manages llama-server for you. Full launch control: context size, GPU layers, flash attention, KV cache types, speculative decoding, vision (--mmproj), and more.
• 🐋 Ollama — pull, manage, and chat with models from the Ollama library, zero config.
• 🧠 Local embeddings — semantic codebase search powered by an on-device ONNX MiniLM model. No embedding API, no key, no code leaving your machine.
• ✈️ Airplane-mode coding — local model + local index = a fully working AI agent, offline.

🔍 Semantic search, no cloud

Ask questions in plain language — "where do we refresh the auth token?" — and the agent automatically finds code by meaning, not keywords. The index builds automatically, updates incrementally, and is stored locally. Prefer a hosted embedding model? Point it at any OpenAI-compatible /embeddings endpoint instead.

🌐 Providers

• OAuth sign-in — connect your existing Claude Code, OpenAI Codex, or Google Antigravity account and use your subscription's models directly in VS Code.
• API keys — OpenAI, Anthropic, Gemini, OpenRouter presets out of the box.
• Custom providers — add any OpenAI-compatible or Anthropic-style endpoint (base URL + key). Run multiple providers at once; models are fetched live and mixable in the picker.
• Auto mode — a judge model routes each task to the best enabled model. Per-model reasoning effort, thinking mode, and context-size options.

⚡ What it does

Installation

1. Install OpenCursor from the VS Code Marketplace (or grab the .vsix from Releases).
2. Open the OpenCursor sidebar and pick a provider:
3. Local: one-click llama.cpp install, or point at a running Ollama.
4. Account: sign in with Claude Code / OpenAI Codex / Google Antigravity.
5. API: paste a key for OpenAI, Anthropic, Gemini, OpenRouter, or any custom endpoint.
6. Start chatting. Ctrl+L sends your selection to the chat.

Native runtime dependencies (ONNX runtime, image processing) are downloaded once on first activation with integrity checks — they're too heavy to ship in the VSIX.

Building from source

git clone https://github.com/PawanOsman/OpenCursor.git
cd OpenCursor
pnpm install
pnpm run compile   # or: pnpm run watch

Press F5 in VS Code to launch the Extension Development Host. Build a package with pnpm run vsix.

Contributing

Issues and PRs welcome — see issues.

License

MIT