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Enhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Presets, open-source for self-hosting. Active.
https://librechat.ai/
aianthropicartifactsawsazurechatgptchatgpt-cloneclaudeclonedeepseekgeminigooglegpt-5librechatmcpo1openairesponses-apivisionwebui
7e74165c3c
* fix: add ODT support to native document parser * fix: replace execSync with jszip for ODT parsing * docs: update documentParserMimeTypes comment to include odt * fix: improve ODT XML extraction and add empty.odt fixture - Scope extraction to <office:body> to exclude metadata/style nodes - Map </text:p> and </text:h> closings to newlines, preserving paragraph structure instead of collapsing everything to a single line - Handle <text:line-break/> as explicit newlines - Strip remaining tags, normalize horizontal whitespace, cap consecutive blank lines at one - Regenerate sample.odt as a two-paragraph fixture so the test exercises multi-paragraph output - Add empty.odt fixture and test asserting 'No text found in document' * fix: address review findings in ODT parser - Use static `import JSZip from 'jszip'` instead of dynamic import; jszip is CommonJS-only with no ESM/Jest-isolation concern (F1) - Decode the five standard XML entities after tag-stripping so documents with &, <, >, ", ' send correct text to the LLM (F2) - Remove @types/jszip devDependency; jszip ships bundled declarations and @types/jszip is a stale 2020 stub that would shadow them (F3) - Handle <text:tab/> → \t and <text:s .../> → ' ' before the generic tag stripper so tab-aligned and multi-space content is preserved (F4) - Add sample-entities.odt fixture and test covering entity decoding, tab, and spacing-element handling (F5) - Rename 'throws for empty odt' → 'throws for odt with no extractable text' to distinguish from a zero-byte/corrupt file case (F8) * fix: add decompressed content size cap to odtToText (F6) Reads uncompressed entry sizes from the JSZip internal metadata before extracting any content. Throws if the total exceeds 50MB, preventing a crafted ODT with a high-ratio compressed payload from exhausting heap. Adds a corresponding test using a real DEFLATE-compressed ZIP (~51KB on disk, 51MB uncompressed) to verify the guard fires before any extraction. * fix: add java to codeTypeMapping for file upload support .java files were rejected with "Unable to determine file type" because browsers send an empty MIME type for them and codeTypeMapping had no 'java' entry for inferMimeType() to fall back on. text/x-java was already present in all five validation lists (fullMimeTypesList, codeInterpreterMimeTypesList, retrievalMimeTypesList, textMimeTypes, retrievalMimeTypes), so mapping to it (not text/plain) ensures .java uploads work for both File Search and Code Interpreter. Closes #12307 * fix: address follow-up review findings (A-E) A: regenerate package-lock.json after removing @types/jszip from package.json; without this npm ci was still installing the stale 2020 type stubs and TypeScript was resolving against them B: replace dynamic import('jszip') in the zip-bomb test with the same static import already used in production; jszip is CJS-only with no ESM/Jest isolation concern C: document that the _data.uncompressedSize guard fails open if jszip renames the private field (accepted limitation, test would catch it) D: rename 'preserves tabs' test to 'normalizes tab and spacing elements to spaces' since <text:tab> is collapsed to a space, not kept as \t E: fix test.each([ formatting artifact (missing newline after '[') --------- Co-authored-by: Danny Avila <danny@librechat.ai> |
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LibreChat
✨ Features
-
🖥️ UI & Experience inspired by ChatGPT with enhanced design and features
-
🤖 AI Model Selection:
- Anthropic (Claude), AWS Bedrock, OpenAI, Azure OpenAI, Google, Vertex AI, OpenAI Responses API (incl. Azure)
- Custom Endpoints: Use any OpenAI-compatible API with LibreChat, no proxy required
- Compatible with Local & Remote AI Providers:
- Ollama, groq, Cohere, Mistral AI, Apple MLX, koboldcpp, together.ai,
- OpenRouter, Helicone, Perplexity, ShuttleAI, Deepseek, Qwen, and more
-
- Secure, Sandboxed Execution in Python, Node.js (JS/TS), Go, C/C++, Java, PHP, Rust, and Fortran
- Seamless File Handling: Upload, process, and download files directly
- No Privacy Concerns: Fully isolated and secure execution
-
🔦 Agents & Tools Integration:
- LibreChat Agents:
- No-Code Custom Assistants: Build specialized, AI-driven helpers
- Agent Marketplace: Discover and deploy community-built agents
- Collaborative Sharing: Share agents with specific users and groups
- Flexible & Extensible: Use MCP Servers, tools, file search, code execution, and more
- Compatible with Custom Endpoints, OpenAI, Azure, Anthropic, AWS Bedrock, Google, Vertex AI, Responses API, and more
- Model Context Protocol (MCP) Support for Tools
- LibreChat Agents:
-
🔍 Web Search:
- Search the internet and retrieve relevant information to enhance your AI context
- Combines search providers, content scrapers, and result rerankers for optimal results
- Customizable Jina Reranking: Configure custom Jina API URLs for reranking services
- Learn More →
-
🪄 Generative UI with Code Artifacts:
- Code Artifacts allow creation of React, HTML, and Mermaid diagrams directly in chat
-
🎨 Image Generation & Editing
- Text-to-image and image-to-image with GPT-Image-1
- Text-to-image with DALL-E (3/2), Stable Diffusion, Flux, or any MCP server
- Produce stunning visuals from prompts or refine existing images with a single instruction
-
💾 Presets & Context Management:
- Create, Save, & Share Custom Presets
- Switch between AI Endpoints and Presets mid-chat
- Edit, Resubmit, and Continue Messages with Conversation branching
- Create and share prompts with specific users and groups
- Fork Messages & Conversations for Advanced Context control
-
💬 Multimodal & File Interactions:
- Upload and analyze images with Claude 3, GPT-4.5, GPT-4o, o1, Llama-Vision, and Gemini 📸
- Chat with Files using Custom Endpoints, OpenAI, Azure, Anthropic, AWS Bedrock, & Google 🗃️
-
🌎 Multilingual UI:
- English, 中文 (简体), 中文 (繁體), العربية, Deutsch, Español, Français, Italiano
- Polski, Português (PT), Português (BR), Русский, 日本語, Svenska, 한국어, Tiếng Việt
- Türkçe, Nederlands, עברית, Català, Čeština, Dansk, Eesti, فارسی
- Suomi, Magyar, Հայերեն, Bahasa Indonesia, ქართული, Latviešu, ไทย, ئۇيغۇرچە
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🧠 Reasoning UI:
- Dynamic Reasoning UI for Chain-of-Thought/Reasoning AI models like DeepSeek-R1
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🎨 Customizable Interface:
- Customizable Dropdown & Interface that adapts to both power users and newcomers
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- Never lose a response: AI responses automatically reconnect and resume if your connection drops
- Multi-Tab & Multi-Device Sync: Open the same chat in multiple tabs or pick up on another device
- Production-Ready: Works from single-server setups to horizontally scaled deployments with Redis
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🗣️ Speech & Audio:
- Chat hands-free with Speech-to-Text and Text-to-Speech
- Automatically send and play Audio
- Supports OpenAI, Azure OpenAI, and Elevenlabs
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📥 Import & Export Conversations:
- Import Conversations from LibreChat, ChatGPT, Chatbot UI
- Export conversations as screenshots, markdown, text, json
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🔍 Search & Discovery:
- Search all messages/conversations
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👥 Multi-User & Secure Access:
- Multi-User, Secure Authentication with OAuth2, LDAP, & Email Login Support
- Built-in Moderation, and Token spend tools
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⚙️ Configuration & Deployment:
- Configure Proxy, Reverse Proxy, Docker, & many Deployment options
- Use completely local or deploy on the cloud
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📖 Open-Source & Community:
- Completely Open-Source & Built in Public
- Community-driven development, support, and feedback
For a thorough review of our features, see our docs here 📚
🪶 All-In-One AI Conversations with LibreChat
LibreChat is a self-hosted AI chat platform that unifies all major AI providers in a single, privacy-focused interface.
Beyond chat, LibreChat provides AI Agents, Model Context Protocol (MCP) support, Artifacts, Code Interpreter, custom actions, conversation search, and enterprise-ready multi-user authentication.
Open source, actively developed, and built for anyone who values control over their AI infrastructure.
🌐 Resources
GitHub Repo:
- RAG API: github.com/danny-avila/rag_api
- Website: github.com/LibreChat-AI/librechat.ai
Other:
- Website: librechat.ai
- Documentation: librechat.ai/docs
- Blog: librechat.ai/blog
📝 Changelog
Keep up with the latest updates by visiting the releases page and notes:
⚠️ Please consult the changelog for breaking changes before updating.
⭐ Star History
✨ Contributions
Contributions, suggestions, bug reports and fixes are welcome!
For new features, components, or extensions, please open an issue and discuss before sending a PR.
If you'd like to help translate LibreChat into your language, we'd love your contribution! Improving our translations not only makes LibreChat more accessible to users around the world but also enhances the overall user experience. Please check out our Translation Guide.
💖 This project exists in its current state thanks to all the people who contribute
🎉 Special Thanks
We thank Locize for their translation management tools that support multiple languages in LibreChat.