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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A high-performance HTTP/2-enabled proxy server designed specifically to enable Cursor IDE's Composer to use DeepSeek's and OpenRouter's language models. This proxy translates OpenAI-compatible API requests to DeepSeek/OpenRouter API format, allowing Cursor's Composer and other OpenAI API-compatible tools to seamlessly work with these models.
| Date | Stars |
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| 2026-07-31 | 639 |
| 2026-08-01 | 639 |
| 2026-08-02 | 639 |
| 2026-08-04 | 640 |
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# DeepSeek API Proxy A high-performance HTTP/2-enabled proxy server designed specifically to enable Cursor IDE's Composer to use DeepSeek's, OpenRouter's and Ollama's language models. This proxy translates OpenAI-compatible API requests to DeepSeek/OpenRouter/Ollama API format, allowing Cursor's Composer and other OpenAI API-compatible tools to seamlessly work with these models. ## Primary Use Case This proxy was created to enable Cursor IDE users to leverage DeepSeek's, OpenRouter's and Ollama's powerful language models through Cursor's Composer interface as an alternative to OpenAI's models. By running this proxy locally, you can configure Cursor's Composer to use these models for AI assistance, code generation, and other AI features. It handles all the necessary request/response translations and format conversions to make the integration seamless. ## Features - HTTP/2 support for improved performance - Full CORS support - Streaming responses - Support for function calling/tools - Automatic message format conversion - Compression support (Brotli, Gzip, Deflate) - Compatible with OpenAI API client libraries - API key validation for secure access - Docker container support with multi-variant builds ## Prerequisites - Cursor Pro Subscription - Go 1.19 or higher - DeepSeek or OpenRouter API key - Ollama server running locally (optional, for Ollama support) - Public Endpoint ## Installation 1. Clone the repository 2. Install dependencies: ```bash go mod download ``` ### Docker Installation The proxy supports both DeepSeek and OpenRouter variants. Choose the appropriate build command for your needs: 1. Build the Docker image: - For DeepSeek (default): ```bash docker build -t cursor-deepseek . ``` - For OpenRouter: ```bash docker build -t cursor-openrouter --build-arg PROXY_VARIANT=openrouter . ``` - For Ollama: ```bash docker build -t cursor-ollama --build-arg PROXY_VARIANT=ollama . ``` 2. Configure environment variables: - Copy the example configuration: ```bash cp .env.example .env ``` - Edit `.env` and add your API key (either DeepSeek or OpenRouter) 3. Run the container: ```bash docker run -p 9000:9000 --env-file .env cursor-deepseek # OR for OpenRouter docker run -p 9000:9000 --env-file .env cursor-openrouter # OR for Ollama docker run -p 9000:9000 --env-file .env cursor-ollama ``` ## Configuration The repository includes an `.env.example` file showing the required environment variables. To configure: 1. Copy the example configuration: ```bash cp .env.example .env ``` 2. Edit `.env` and add your API key: ```bash # For DeepSeek DEEPSEEK_API_KEY=your_deepseek_api_key_here # OR for OpenRouter OPENROUTER_API_KEY=your_openrouter_api_key_here # OR for Ollama OLLAMA_API_KEY=your_ollama_api_key_here ``` Note: Only configure ONE of the API keys based on which variant you're using. ## Usage 1. Start the proxy server: ```bash go run proxy.go # OR you can specify a model: go run proxy.go -model coder # OR go run proxy.go -model chat # OR for OpenRouter go run proxy-openrouter.go # OR for Ollama go run proxy-ollama.go ``` The server will start on port 9000 by default. 2. Use the proxy with your OpenAI API clients by setting the base URL to `http://your-public-endpoint:9000/v1` ## Exposing the Endpoint Publicly You can expose your local proxy server to the internet using ngrok or similar services. This is useful when you need to access the proxy from external applications or different networks. ### Using ngrok 1. Install ngrok from https://ngrok.com/download 2. Start your proxy server locally (it will run on port 9000) 3. In a new terminal, run ngrok: ```bash ngrok http 9000 ``` 4. ngrok will provide you with a public URL (e.g., https://your-unique-id.ngrok.io) 5. Use this URL as your OpenAI API base URL in Cursor's settings: ``` https://your-unique-id.ngrok.io/v1 ``` ### Alternative Methods You can also use other services to expose your endpoint: 1. **
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:5f36098529e44bd9, desc:openai-compatible api