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.
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.
It is an experimental autonomous agent called ReactAgent that uses the GPT-4 language model to generate and compose React components from user stories.
It is an experimental autonomous agent called ReactAgent that uses the GPT-4 language model to generate and compose React components from user stories.
It is a cloud-hosted browser platform designed to enable AI agents to perform web-based tasks securely and autonomously, mimicking human-like interactions.
It is a simple general-purpose autonomous agent called MiniAGI, designed to operate using the OpenAI API, specifically compatible with GPT-3.5-Turbo and GPT-4.
It is an AI-powered web app development platform called Softgen that enables users to build full-stack web applications without requiring any coding knowledge.
It is a TypeScript/React library designed for building AI-powered chat interfaces, enabling developers to integrate conversational AI into their applications seamlessly.
It is an open-source, modern-design AI chat framework called Lobe Chat that supports multiple AI providers, including OpenAI, Claude 3, Gemini, Ollama, Qwen, and DeepSeek.
It is an open-source universal frontend for AI Agents that enables developers to focus on building their backend while providing a ready-to-use interface for public users.
It is a platform designed to create, run, and scale web automations using advanced AI technologies such as Vision-Language Models (VLMs), Large Language Models (LLMs), and AI agents.
It is an open platform called OpenAgents designed to enable the use and hosting of language agents in real-world applications, providing both general users and developers with tools to interact with and deploy language agents.
It is a repository containing the code, data, and implementation for "WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models." WebVoyager is an advanced web agent powered by Large Multimodal Models (LMMs) that can autonomously complete user instructions by interacting with real-world websites.
It is a Python-based project called Teenage-AGI that enhances an AI agent's capabilities by giving it memory and the ability to "think" before generating responses.
It is a composable open-source AI framework designed for building and deploying production-ready applications powered by large language models (LLMs) and multimodal AI.
It is a low-code multi-agent automation framework designed to simplify and enhance workflow efficiency by enabling the creation of multiple agents coupled with specific tasks.
It is the first agentic people management platform designed to help high-performing, empathetic leaders optimize team performance through personalized, continuous, and private management recommendations.
It is a cloud-based AI platform designed to empower data, business, sales, and marketing teams by providing real-time insights, SQL generation, dashboards, and reports through natural language queries.
It is an advanced AI model designed to organize and make information more useful by leveraging multimodality, long context understanding, and agentic capabilities.
It is a no-code platform that enables businesses to train custom ChatGPT chatbots on their company data in minutes, automating customer support, lead generation, and more.
It is a directory or file path typically found in Unix-like operating systems, such as Linux, that is associated with system or application-level processes, often related to agents or daemons.
It is an AI agent called bumpgen that upgrades npm packages, specifically for TypeScript and TSX projects, while automatically making necessary code changes to address any breaking changes caused by the upgrades.
It is a platform designed to help product teams build, deploy, and scale AI agents for automating customer interactions with speed, control, and observability.
It is an Agent-Computer-Interface project called Open Interpreter, developed in Seattle, Washington, designed to provide a new way for users to interact with computers.
