bolt.diy

It is an open-source platform called **bolt.diy** that allows users to prompt, run, edit, and deploy full-stack web applications using any large language model (LLM) of their choice.

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It is an open-source platform called **bolt.diy** that allows users to prompt, run, edit, and deploy full-stack web applications using any large language model (LLM) of their choice. Originally developed as **Bolt.new** (previously known as oTToDev and bolt.new ANY LLM), bolt.diy supports a wide range of LLMs, including OpenAI, Anthropic, Ollama, OpenRouter, Gemini, LMStudio, Mistral, xAI, HuggingFace, DeepSeek, and Groq. It is designed to be easily extendable to support additional models via the Vercel AI SDK.

Bolt.diy is a community-driven project initiated by Cole Medin and has grown into a collaborative effort to create the best open-source AI coding assistant. Users can run the platform locally or deploy it using Docker, with detailed installation instructions provided in the official documentation. The platform also includes an experimental agent called the **”bolt.diy Expert”** to assist with common questions.

The project is managed by a core team of contributors who organize development efforts and prioritize features. Users are encouraged to contribute by following the project management guide, submitting issues, or improving documentation via pull requests. Bolt.diy is beginner-friendly, with step-by-step instructions for installation, configuration of API keys, and setup of custom base URLs for local or custom AI models.

For developers, bolt.diy offers advanced setup options using Git, including cloning the repository, installing dependencies, and staying updated with the latest changes. Troubleshooting guides are available for resolving common issues during setup. The platform also provides a roadmap for upcoming features, a FAQ page for common questions, and a contributing guide for those interested in contributing to the project.

Bolt.diy is licensed under an open-source license and is hosted on GitHub, where users can explore its features, join the community, and access resources for running and deploying the platform.

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