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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
649e68170e
* test: make useIsActiveItem observer assertions deterministic
The two attribute-flip tests mutated inside act() and then raced a 4 second
waitFor against MutationObserver delivery, so they failed once the client
workspace gained enough suites for a worker to stall past that budget.
Wait on actual observer delivery instead. The hook registers its observer on
mount, so it is ahead of the test's in delivery order and has already reacted
by the time the promise resolves. The new helper filters on data-active-item
because React writes data-active onto the same element when it re-renders, and
an unfiltered observer would resolve on that write instead.
This removes the last wall-clock dependence in the file, so the 20 second
jest timeout is no longer needed.
* feat: add canonical ProviderId vocabulary and resolver
* feat: resolve custom endpoint provider identity at config load
* feat: add provider icon registry data
* feat: add ProviderIcon and ProviderAvatar components
* feat: add provider icon resolution hook
* refactor: migrate direct icon lookups to the provider registry
* refactor: migrate composite endpoint icons to the provider registry
* refactor: render message provider icons from the registry
* refactor: remove the duplicated endpoint icon maps
The model selector was the last consumer of the icons map, so it now
resolves art through the provider registry like every other icon call
site. That leaves getIconKey with no callers, and the five icon map
types it depended on with no references, so all of them go too.
* fix: address Codex review findings on provider icons
Move brand tile colors onto theme tokens, accept relative image paths,
pass endpoint config into message icon resolution, keep Cohere padding
on landing only, render configured image URLs in provider-only
consumers, preserve the Gemma label, and publish provider assets with
the shared client package.
* fix: address remaining Codex findings on provider icons
Keep monochrome art white on branded avatar tiles, inline provider
assets as module data URLs so ProviderIcon works outside the SPA, and
recognize api.cohere.ai when resolving custom endpoint brands.
* fix: address the latest Codex review notes
Stop inlining provider logos into the shared bundle, keep agents and
assistants marks on group icons, reject CSS appended to brand
gradients, give brand tokens hex fallbacks for package consumers, and
treat data image URLs as configured artwork.
* fix: honor native provider and theme-controlled avatar contrast
Use an explicit custom-endpoint provider when host branding misses,
keep agents and assistants marks on model specs, and drive branded
avatar foreground from a theme token instead of a raw white class.
* fix: tighten brand validation and inherit SVG fill color
Forward the computed color class into provider SVGs, accept only a
single balanced gradient for brand backgrounds, keep provider
foreground hex-only, recognize relative image fragments, and preserve
percentage sizing in URLIcon fallbacks.
* fix: keep EndpointIcon hook-free and accept protocol-relative icon URLs
useMentions.ts invokes EndpointIcon({...}) as a plain function in seven
places, inside useMemo mappings and a React Query select callback, so the
useProviderIcon call added to it ran a hook outside a render and threw
"Invalid hook call" as soon as the mention list was built. It now uses the
hook-free resolveProviderIcon, and a spec pins the imperative-call contract
those call sites depend on.
isImageURL explicitly rejected protocol-relative URLs, so an endpoint or
model group configured with //cdn.example.com/provider.png fell through to
provider resolution and rendered the generic mark, where the removed
UnknownIcon rendered any nonempty custom iconURL. A leading // followed by
a host is now an image; a bare // or /// still is not.
The ConvoIcon spec's two cohere conversations move to one shared fixture,
since ProviderId.cohere is not an EModelEndpoint and a single-step
assertion to TConversation failed the client type check.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MWvn6ezgLmN8D5GDmFVnwv
* fix: annotate themeBrandTokens for isolatedDeclarations
packages/client compiles with isolatedDeclarations, under which
`as const satisfies` is not an explicit type annotation, so the emitted
declaration could not be produced from the initializer alone.
This never surfaced before because the "Type check @librechat/client"
step only runs after "Type check @librechat/api", which was failing on
dev's Agents SDK issue and skipping it.
Annotated as readonly (keyof IThemeBrands)[] and frozen, matching
themeColorTokens directly above it. Both consumers only call .includes()
and .map(), so no literal tuple type is lost.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MWvn6ezgLmN8D5GDmFVnwv
* fix: keep nested provider SVGs at their span's size
ProviderIcon sizes component art with an outer span carrying an inline
width/height, then rendered the SVG with cn('h-full w-full', classes).
Because cn is twMerge, a caller's own sizing class won that merge, so the
fraction applied twice: Landing passes size={41} with h-2/3 w-2/3, ConvoIcon
scales to a 27px span, and the SVG then took two thirds of that again, ~18px
where it used to be ~27px.
Only component-backed providers regressed. The asset branch has no wrapping
span, so its fraction still resolves against the 40px container.
Reordering the merge makes the span's size authoritative while leaving every
other caller class in place, including the [color:inherit] that branded
avatars forward. The img branch keeps resolving against its parent, so its
size is unchanged.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MWvn6ezgLmN8D5GDmFVnwv
* fix: close the image-format and provider-host tables
Two allowlists that the refactor narrowed, fixed as sets rather than one
entry at a time.
isImageURL's extension list had grown by patch four times, each round
restoring one form the old renderer accepted. It now carries every format
browsers actually render, so avif joins apng, bmp, cur, jfif and the jpeg
spellings in a single pass.
The host table had no Azure entry, so an OpenAI-compatible endpoint on
team.openai.azure.com fell through to the generic mark; the custom schema
cannot express provider: azure, so host was its only signal. Both supported
Azure suffixes are added, and enumerating ProviderId against the table
surfaced Google as the same gap, which is added too.
Bedrock, mlx and ollama are the remainder and cannot be host-resolved:
bedrock's hostname is region-scoped under a shared AWS suffix, and the other
two are served from the operator's own machine. That is now recorded next to
the table and pinned by a test, so a provider added later without a host
fails rather than silently rendering the generic mark.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MWvn6ezgLmN8D5GDmFVnwv
---------
Co-authored-by: Claude <noreply@anthropic.com>
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| api | ||
| client | ||
| config | ||
| e2e | ||
| helm | ||
| otel/langfuse-fanout | ||
| packages | ||
| redis-config | ||
| scripts | ||
| search | ||
| skill | ||
| src/tests | ||
| utils | ||
| .dockerignore | ||
| .env.example | ||
| .gitattributes | ||
| .gitignore | ||
| .nvmrc | ||
| .prettierrc | ||
| AGENTS.md | ||
| bun.lock | ||
| CLAUDE.md | ||
| CONTEXT.md | ||
| deploy-compose.langfuse-fanout.yml | ||
| deploy-compose.yml | ||
| docker-compose.langfuse-fanout.yml | ||
| docker-compose.override.yml.example | ||
| docker-compose.yml | ||
| Dockerfile | ||
| Dockerfile.multi | ||
| eslint.config.mjs | ||
| librechat.example.yaml | ||
| LICENSE | ||
| package-lock.json | ||
| package.json | ||
| rag.yml | ||
| README.md | ||
| README.zh.md | ||
| tool-intent-spec.md | ||
| turbo.json | ||
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
-
🎛️ 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.