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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
8a946290f6
* feat: give the pinned chats section its own fetch The sidebar's pinned section filtered pinned chats out of the paginated chats list, which only holds the 25 most recently updated conversations. Once 25 newer chats existed, a reload hid the pin until the list was scrolled far enough to fetch the page it lived on. Pins are now fetched directly via GET /api/convos?pinned=true behind a dedicated query, so every pin paints with the sidebar regardless of where it falls in the chats list. Pin and unpin invalidate that query, and the shared conversation cache helpers keep it in step so a rename, delete or archive is reflected without waiting for a refetch. Pins stay out of the date groups, which groupConversationsByDate already handled. * fix: address review findings on the pinned chats section - Drain the cursor rather than capping the pinned request at 100. Since pins are kept out of the chats date groups, anything this query dropped was invisible in the sidebar entirely, not merely further down a list. - Apply the active bookmark filter to the pinned request and key its cache by it, matching the chats list beside it. - Move a pin to the top of the section when the caller asks for it, so a pin that just received a message leads the way it does in the chats list instead of waiting for a refetch. - Invalidate the pinned list when a conversation is unarchived, since archiving removes it from that cache and nothing put it back. - Index the pinned lookup: it filters on user + pinned and sorts by updatedAt, which no existing compound index covered. - Protect `pinned` from saveMessageToDatabase's unset sweep. Any persisted field missing from endpointOptions is unset, so sending a message in a pinned chat silently unpinned it. * fix: keep the pinned cache reconciled across the other convo mutations Second review pass on the independent pinned query. - Fall back to the pins already loaded in the chats pages when the dedicated request fails. Pins are stripped from the date groups, so an error otherwise emptied the section and hid them everywhere. - Restore default focus and reconnect refetching, matching the conversations query. A pin changed in another tab is only reconciled by a refetch, since that tab's mutation never touched this cache. - Invalidate the pinned list from the mutations that can produce or alter a pinned chat without going through pin itself: duplicate, fork, import, project assignment, and shared-link deletion. * fix: invalidate pins on tag and project-deletion changes Third review pass, same class as the last: the pinned query is keyed by the active bookmark filter, so changing a chat's tags can move it in or out of that filtered set, and deleting a project unsets chatProjectId on its chats, pinned ones included. * fix: cancel in-flight pinned fetches when deleting a conversation Deletion cancelled the regular and archived queries but not the pinned one, so a pinned GET issued before the delete could resolve after the row was stripped and write the deleted conversation back, leaving a row that navigates to a missing chat. Restoring default focus and reconnect refetching in the previous commit made those in-flight fetches more likely, so this widened rather than appeared. Cancelled on mutate, and invalidated on success since cancelling a race is best effort. * test: make the SSE query-cache mock key-aware The conversation cache helpers now run a second, pinned-keyed findAll pass. This mock ignored its key argument and always returned an allConversations entry, so those pinned writes were attributed to allConversations and the write-count assertions saw three instead of two. * fix: keep pins in sync through upsert and pin-only pages Root-level SSE updates and resumable settlement call upsert rather than update, so the independently cached pinned row never moved or refreshed. An all-pin first page also left the chats virtual list empty, so onRowsRendered never asked for the next cursor. * fix: keep pins current through SSE recovery and project delete Resumable SSE reconciliation invalidated conversation and allConversations only, so an independently cached pin kept stale title and order. Deleting a project-backed pin that lived only in that cache also skipped the project query, because the mutation never read chatProjectId there. * fix: keep pins current after bookmark edits and failed pages Renaming or deleting a bookmark rewrote tags on conversations but left the tag-keyed pinned cache pointing at the old filter. An all-pin page whose next fetch failed also retried forever because the empty-list effect had no memory of the attempt. Unpinning a pin that only lived in the dedicated cache removed it from Pinned without inserting it into Chats, and later cursor pages cannot recover a row whose updatedAt just jumped ahead of the current cursor. * fix: keep pins visible after a failed refetch A failed pinned refetch left React Query holding the previous list, so the nullish fallback never ran and a newly pinned chat vanished from both sections. Unpinning an older pin also inserted it into every cached chats variant, including bookmark and search results it would not match. Drop the checked-in agent task prompt. * test: type the pinned conversation fixtures correctly The delete mutation takes a plain string conversationId, but reading it back off a TConversation fixture widens it to string | null. Hoist the id into its own constant so the call site passes the real string. Type the tag fixture as TConversationTag so it carries the required _id and user fields the mocked resolved value expects. * style: sort the sidebar imports to the repo order The new pinned-section imports went in out of the longest-to-shortest order the import sorter enforces. * fix: keep drained pins and empty chat caches from breaking the sidebar A pinned page failing partway through the drain rejected the whole query, so every pin already fetched was discarded and the section fell back to whatever the chats cache happened to hold. Publish the accumulated pins before rethrowing so the retry renders against the partial set. Unpinning a chat that only lives in the pinned cache reinserted it into the chats list by spreading the first page, which is absent once removal has filtered out the last loaded row. Rebuild that page instead, matching the upsert path. * fix: order fallback pins by their timestamp The merge kept dedicated rows in Map insertion order and appended the pins recovered from the chats cache after them. A chat pinned while the dedicated refetch is failing is the newest pin, so the server would return it first, yet it landed last and could sit below the section's visible 30vh. Sort the merged set newest-first so a fallback row takes the place the server would give it. * fix: keep the shared badge and the move-to-top order on pins The pin response has no isShared: the flag is derived per list request by attachSharedFlags, which only runs for the list queries. Reinserting an unpinned chat into Chats therefore dropped its shared-link badge, because unlike an in-place update there is no existing row to carry the flag over from. Read it off the cached pin before the update removes that row. The chats cache refreshes updatedAt when it moves a conversation to the top, but the pinned cache only reordered, leaving the previous turn's timestamp on the row. Sorting the section newest-first then put it straight back. Refresh the timestamp there too, so the move survives the sort and both caches agree. |
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LibreChat
English · 中文
🚀 What's New in v0.8.8-rc1
- Agent run control: Interrupt or steer an Agent mid-run, queue follow-up messages, and reclaim, edit, or escalate pending steers.
- Human-in-the-loop Agents: Agents stream question progress, ask up to four related questions in one form, pause for input or tool approval, and resume.
- Unified Agent Builder: A redesigned Tools marketplace brings together Skills, MCP, Code Interpreter, orchestration, Programmatic Tool Calling, model-spec controls, and per-tool background and intent settings.
- Readable Agent activity: Generated activity-group headers, parent phase summaries, and live tool intent labels make long reasoning and tool runs easier to scan.
- Code Interpreter workflows: Code and shell tools can run in the background, sandbox images return as viewable artifacts, and highly experimental stateful sessions can reuse prewarmed conversation workspaces.
- Agent extensibility: Experimental Agent Plugins can bundle deployment Skills, MCP servers, and opt-in command hooks, while explicit subagents initialize only when selected.
- Memory, context, and identity: Agents can manage memory with optional per-agent isolation, expose support contacts safely, and show a more faithful Context Usage gauge.
- Sharing and files: Shared conversations show a badge and update at a stable URL, while signed-in viewers can continue them as personal copies.
- Artifact workflows: Open previews fullscreen, work with PowerPoint
.potxtemplates across upload, search, and code execution, upload shell scripts across common MIME variants, export Mermaid diagrams as SVG or PNG, and download original Office files from the artifact panel. - Models and reasoning: Added GPT-5.6 with Responses API reasoning controls, Claude Opus 5 and Sonnet 5, Gemini 3.7 and 3.6 Flash, and Gemini 3.5 Flash-Lite.
- Langfuse observability: Configure encrypted Langfuse connections in-app, let authorized admins open sampled sessions directly, optionally fan out traces by tenant, and suppress central export per run.
- Administration and security: Delegate config sections, encrypt registered secrets, enforce SSRF checks for speech, OCR, and web tools, and generate unique temporary credentials when secrets are blank.
- Messages and navigation: Right-aligned user turns, unified multi-part editing, full-message copy, a dock-style message rail, virtualized search, smooth streaming, and faster Agent startup.
- Streaming and tool reliability: Adaptive provider smoothing, Redis delta batching, dynamic MCP tool refresh, parsed MCP response media types, runtime OAuth recovery, and Agent stream circuit breakers improve long-running workflows.
- Deployment and reliability: Added configurable HTTP timeouts, Amazon DocumentDB 5.0+ support, low-noise Redis and browser observability, and a rolling-upgrade-safe generation protocol.
Read the full v0.8.8-rc1 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, 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
- 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.mdinstruction 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
- 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 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 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
-
🧠 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
-
- 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
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🎛️ 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.
🌐 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.