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LibreChat

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Basic Information

LibreChat is an open-source web application that provides an all-in-one conversational AI interface and platform for interacting with many AI models and services. It replicates and extends a ChatGPT-style UI to let users chat with multiple providers, choose models, switch endpoints mid-chat, and manage conversation context. The project supports local and remote AI providers, custom OpenAI-compatible endpoints, and integrates popular vendors including OpenAI, Anthropic, Google Vertex AI, AWS Bedrock and others. LibreChat also includes tools for no-code assistant creation, agents and tool integrations, secure code execution via a Code Interpreter API, image generation and editing, web search to augment responses, file upload and chat-with-files features, multilingual UI, and deployment options for local or cloud hosting. The repository targets users and teams who want a feature-rich, extensible chat platform that can be self-hosted or deployed across varied AI endpoints.

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Stars
29083
App URL
https://github.com/danny-avila/LibreChat
Github Repository
https://github.com/danny-avila/LibreChat/blob/main/README.md

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App Details

Features
LibreChat bundles a comprehensive set of features in a ChatGPT-inspired interface. Model and endpoint selection supports OpenAI, Azure, Anthropic, Google Vertex AI, AWS Bedrock and many others plus custom OpenAI-compatible endpoints and local providers. Agents & tools include no-code custom assistants, MCP support for tool integrations, and extensions for file search and code execution. The Code Interpreter API offers sandboxed execution in multiple languages with file upload and download. Web Search integrates multiple providers, scrapers and rerankers to enrich context. Generative UI can create code artifacts and diagrams. Image generation supports GPT-Image-1, DALL·E, Stable Diffusion and MCP servers. Conversation controls include presets, branching/forking, import/export, message editing, and global search. Multimodal features allow image analysis and chat-with-files. The platform supports speech I/O, multilingual UI, multi-user authentication methods, moderation, and many deployment and configuration options.
Use Cases
LibreChat helps individuals, teams and communities run powerful conversational AI without relying solely on a single provider. It allows users to connect to free or pay-per-call APIs and to avoid vendor lock-in by switching among providers or using custom endpoints. Developers and non-developers benefit from no-code assistants and agent tooling while security-conscious users can run sandboxed code execution and self-host deployments to keep data local. The platform boosts productivity through features like conversation search, presets, generative code artifacts, file-chat and multimodal analysis. Web search and tool integrations improve factual grounding. Multi-user authentication, translation support, import/export and deployment flexibility make it suitable for collaborative and production environments. Community-driven development, documentation and ready deploy templates simplify adoption and customization.

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