LibreChat

LibreChat

English · 中文

🚀 What's New in v0.8.8

• Agent Management API (beta): Create, discover, update, and delete Agents; manage Agent files and Skills; and authenticate machine clients through deployment-bound OIDC identities while preserving existing role and Agent access controls. Public OpenAPI and Swagger UI cover inference, events, Agent management, and Skill management.
• Attached workspaces (highly experimental): Select or save a per-Agent default workspace for each managed or personal code worker, then let Agents inspect trees, read and search files, author changes, and run Bash with bounded timeouts. Personal workers support bounded self-service enrollment, readiness status, and per-Agent Git identity.
• Background tool controls: Optionally cancel ordinary background tools, including attached Bash, while keeping detached Subagent execution independent.
• Code approval controls: Choose Ask, Allow, or Deny for file writes and command execution where administrators permit it, including a Full access mode for trusted attached environments. File Search and Run Code also honor role grants.
• Manual context compaction: Start a summarize-only turn before the context window fills while preserving recent conversation content according to the deployment's summarization policy.
• Context Usage: Inspect dialogue, retained tool traffic, Agent instructions, cache, cost, and runway pressure without double-counting category subsets.
• Unified attachments: Upload once and let LibreChat route content to the model or extracted text, then provision File Search and Code tools only when needed.
• Models: Added GPT-6 Astra and GPT-6.1 Sol, with Responses API routing and tool-call support.
• Agent and chat UI: Unified tool activity, reasoning, search, and Agent workflows; added one draggable Pinned section for chats and favorites, morphing state icons, high-contrast themes, rich-text message copying, clearer sidebar titles, and refined live phase layouts.
• Observability: Inspect ordered model conversations, tool rounds, and costs in the Trace Viewer; export correlated application logs through OpenTelemetry, configure allowlisted Langfuse trace identity and metadata, tag browser diagnostics with client build IDs, and scope Insights to authorized Agents.
• Reliability and security: Strengthened Agent continuation and checkpoint recovery, Redis liveness detection, DocumentDB coordination, OpenID and MCP OAuth sessions, shared-link throttling, tenant isolation, attachment bounds, and upload error handling.

Read the full v0.8.8 changelog.

✨ 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, AMD Lemonade, groq, Cohere, Mistral AI, Apple MLX, koboldcpp, together.ai,
    • OpenRouter, Helicone, Perplexity, ShuttleAI, Deepseek, Qwen, and more

• 🔧 Code Interpreter API:

  • 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
  • Open-Source & Self-Hostable: powered by ClickHouse/code-interpreter

• 🔦 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
    • Skills: Create reusable SKILL.md instruction bundles for manual, automatic, or always-on agent workflows
    • Agent Plugins: Experimentally bundle deployment Skills and MCP servers into startup-loaded packages
    • Subagents: Delegate focused work to isolated child agent runs with their own context windows
    • Agent Management API: Automate Agent, file, and Skill management with deployment-bound OIDC clients
    • Attached Code Workspaces: Let Agents inspect, search, edit, and run commands in managed or personal workspaces (highly experimental)
    • Compatible with Custom Endpoints, OpenAI, Azure, Anthropic, AWS Bedrock, Google, Vertex AI, Responses API, and more
    • Model Context Protocol (MCP) Support for Tools

• 🔍 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 create React, HTML, and Mermaid content directly in chat
  • Open previews fullscreen and export Mermaid diagrams as SVG or PNG

• 🎨 Image Generation & Editing

  • Text-to-image and image-to-image with GPT-Image-1
  • Text-to-image with 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
  • Compact long conversations on demand while preserving recent context

• 💬 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 🗃️
  • Copy messages as formatted rich text for documents, email, and collaboration apps

• 🌎 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

• 🧠 Reasoning UI:

  • Dynamic Reasoning UI for Chain-of-Thought/Reasoning AI models like DeepSeek-R1

• 🎨 Customizable Interface:

  • Customizable Dropdown & Interface that adapts to both power users and newcomers
  • Light, dark, system, and high-contrast appearance modes

• 📈 Observability:

  • Export traces and logs with OpenTelemetry and connect Langfuse for Agent and model insights

• 🌊 Resumable Streams:

  • 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

• 🗣️ Speech & Audio:

  • Chat hands-free with Speech-to-Text and Text-to-Speech
  • Automatically send and play Audio
  • Supports OpenAI, Azure OpenAI, and Elevenlabs

• 📥 Import & Export Conversations:

  • Import Conversations from LibreChat, ChatGPT, Chatbot UI
  • Export conversations as screenshots, markdown, text, json

• 🔍 Search & Discovery:

  • Search all messages/conversations

• 👥 Multi-User & Secure Access:

  • Multi-User, Secure Authentication with OAuth2, LDAP, & Email Login Support
  • Built-in Moderation, and Token spend tools

• 🎛️ Admin Panel:

  • Browser-based UI to manage users, groups, roles, and configuration overrides
  • Edit settings and per-role/group permissions live, without redeploying
  • Bundled with the Docker Compose stacks for one-command setup

• ⚙️ Configuration & Deployment:

  • Configure Proxy, Reverse Proxy, Docker, & many Deployment options
  • Use S3 with CloudFront for stable media links, edge delivery, signed cookies, and secured downloads
  • Use completely local or deploy on the cloud

• 📖 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.

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🌐 Resources

GitHub Repo:

• RAG API: github.com/LibreChat-AI/rag-api
• Website: github.com/LibreChat-AI/librechat.ai

Other:

• Website: librechat.ai
• Documentation: librechat.ai/docs
• Blog: librechat.ai/blog

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📝 Changelog

Keep up with the latest updates by visiting the releases page and notes:

• Releases
• Changelog

⚠️ Please consult the changelog for breaking changes before updating.

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⭐ Star History

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✨ 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.

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💖 This project exists in its current state thanks to all the people who contribute

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🎉 Special Thanks

We thank Locize for their translation management tools that support multiple languages in LibreChat.

LibreChat

English · 中文

✨ 功能

• 🖥️ UI 与体验：受 ChatGPT 启发，并具备更强的设计与功能。

• 🤖 AI 模型选择：

  • Anthropic (Claude), AWS Bedrock, OpenAI, Azure OpenAI, Google, Vertex AI, OpenAI Responses API (包含 Azure)
  • 自定义端点 (Custom Endpoints)：LibreChat 支持任何兼容 OpenAI 规范的 API，无需代理。
  • 兼容本地与远程 AI 服务商：
    • Ollama, groq, Cohere, Mistral AI, Apple MLX, koboldcpp, together.ai,
    • OpenRouter, Helicone, Perplexity, ShuttleAI, Deepseek, Qwen 等。

• 🔧 代码解释器 (Code Interpreter) API：

  • 安全的沙箱执行环境，支持 Python, Node.js (JS/TS), Go, C/C++, Java, PHP, Rust 和 Fortran。
  • 无缝文件处理：直接上传、处理并下载文件。
  • 隐私无忧：完全隔离且安全的执行环境。

• 🔦 智能体与工具集成：

  • LibreChat 智能体 (Agents)：
    • 无代码定制助手：无需编程即可构建专业化的 AI 驱动助手。
    • 智能体市场：发现并部署社区构建的智能体。
    • 协作共享：与特定用户和群组共享智能体。
    • 灵活且可扩展：支持 MCP 服务器、工具、文件搜索、代码执行等。
    • Skills：创建可复用的 SKILL.md 指令包，用于手动、自动或始终启用的智能体工作流。
    • Subagents：将专门任务委派给拥有独立上下文窗口的隔离子智能体运行。
    • 兼容自定义端点、OpenAI, Azure, Anthropic, AWS Bedrock, Google, Vertex AI, Responses API 等。
    • 支持模型上下文协议 (MCP) 用于工具调用。

• 🔍 网页搜索：

  • 搜索互联网并检索相关信息以增强 AI 上下文。
  • 结合搜索提供商、内容爬虫和结果重排序，确保最佳检索效果。
  • 可定制 Jina 重排序：配置自定义 Jina API URL 用于重排序服务。
  • 了解更多 →

• 🪄 支持代码 Artifacts 的生成式 UI：

  • 代码 Artifacts 允许在对话中直接创建 React 组件、HTML 页面和 Mermaid 图表。

• 🎨 图像生成与编辑：

  • 使用 GPT-Image-1 进行文生图与图生图。
  • 支持 Stable Diffusion, Flux 或任何 MCP 服务器。
  • 根据提示词生成惊艳的视觉效果，或通过指令精修现有图像。

• 💾 预设与上下文管理：

  • 创建、保存并分享自定义预设。
  • 在对话中随时切换 AI 端点和预设。
  • 编辑、重新提交并通过对话分支继续消息。
  • 创建并与特定用户和群组共享提示词。
  • 消息与对话分叉 (Fork) 以实现高级上下文控制。

• 💬 多模态与文件交互：

  • 使用 Claude 3, GPT-4.5, GPT-4o, o1, Llama-Vision 和 Gemini 上传并分析图像 📸。
  • 支持通过自定义端点、OpenAI, Azure, Anthropic, AWS Bedrock 和 Google 进行文件对话 🗃️。

• 🌎 多语言 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

• 🧠 推理 UI：

  • 针对 DeepSeek-R1 等思维链/推理 AI 模型的动态推理 UI。

• 🎨 可定制界面：

  • 可定制的下拉菜单和界面，同时适配高级用户和初学者。

• 🌊 可恢复流 (Resumable Streams)：

  • 永不丢失响应：AI 响应在连接中断后自动重连并继续。
  • 多标签页与多设备同步：在多个标签页打开同一对话，或在另一设备上继续。
  • 生产级可靠性：支持从单机部署到基于 Redis 的水平扩展。

• 🗣️ 语音与音频：

  • 通过语音转文字和文字转语音实现免提对话。
  • 自动发送并播放音频。
  • 支持 OpenAI, Azure OpenAI 和 Elevenlabs。

• 📥 导入与导出对话：

  • 从 LibreChat, ChatGPT, Chatbot UI 导入对话。
  • 将对话导出为截图、Markdown、文本、JSON。

• 🔍 搜索与发现：

  • 搜索所有消息和对话。

• 👥 多用户与安全访问：

  • 支持 OAuth2, LDAP 和电子邮件登录的多用户安全认证。
  • 内置审核系统和 Token 消耗管理工具。

• ⚙️ 配置与部署：

  • 支持代理、反向代理、Docker 及多种部署选项。
  • 使用 S3 与 CloudFront 获得稳定的媒体链接、边缘分发、签名 Cookie 和安全下载。
  • 可完全本地运行或部署在云端。

• 📖 开源与社区：

  • 完全开源且在公众监督下开发。
  • 社区驱动的开发、支持与反馈。

查看我们的文档了解更多功能详情 📚

🪶 LibreChat：全方位的 AI 对话平台

LibreChat 是一个自托管的 AI 对话平台，在一个注重隐私的统一界面中整合了所有主流 AI 服务商。

除了对话功能外，LibreChat 还提供 AI 智能体、模型上下文协议 (MCP) 支持、Artifacts、代码解释器、自定义操作、对话搜索，以及企业级多用户认证。

开源、活跃开发中，专为重视 AI 基础设施自主可控的用户而构建。

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🌐 资源

GitHub 仓库：

• RAG API: github.com/LibreChat-AI/rag-api
• 网站: github.com/LibreChat-AI/librechat.ai

其他：

• 官方网站: librechat.ai
• 帮助文档: librechat.ai/docs
• 博客: librechat.ai/blog

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📝 更新日志

访问发布页面和更新日志以了解最新动态：

• 发布页面 (Releases)
• 更新日志 (Changelog)

⚠️ 在更新前请务必查看更新日志以了解破坏性更改。

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⭐ Star 历史

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✨ 贡献

欢迎任何形式的贡献、建议、错误报告和修复！

对于新功能、组件或扩展，请在发送 PR 前开启 issue 进行讨论。

如果您想帮助我们将 LibreChat 翻译成您的母语，我们非常欢迎！改进翻译不仅能让全球用户更轻松地使用 LibreChat，还能提升整体用户体验。请查看我们的翻译指南。

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💖 感谢所有贡献者

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🎉 特别鸣谢

感谢 Locize 提供的翻译管理工具，支持 LibreChat 的多语言功能。