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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
227a99ede8
* fix: render Google settings from the shared schema and bound them correctly
Google was the last endpoint hand-rolling its own sliders. The schema was
already there and already wired, only the frontend never used it, so
rendering from it replaces 315 lines with the body OpenAI, Anthropic and
Bedrock share.
That closed a functional gap rather than only moving code: the old form
exposed six fields where the schema declares fifteen, so Resend Files,
Thinking, Thinking Budget, Thinking Level, Grounding with Google Search,
URL Context and File Token Limit were unreachable from a Google preset.
resendFiles is added to the Google schema so its switch round-trips, and
the endpoint type is resolved from the endpoints config, since a preset
for a Google-compatible endpoint need not carry endpointType and would
otherwise blank the panel.
Sharing the controls also meant inheriting their gaps, which this fixes:
- Number settings declared a range that nothing enforced, so a value past
the provider's ceiling was persisted and rejected later. clampSettingRange
applies it, and generateDynamicSchema validates the same rule, so the
definition is the single source of truth for both.
- Thinking budget bounds are per model. The generic range capped 2.5 Pro
below its documented 32,768 and admitted Flash values above 24,576.
positiveMin carries the documented floors while -1 stays typeable as the
decide-automatically sentinel.
- Ranges the model narrowed are marked modelSpecific, so a switch to a
model that ignores the parameter cannot rewrite a value set for another.
- useDebouncedInput rebuilt its debouncer every render, because neither
setOption nor the inline setter is memoized, so pending edits were never
really superseded and a flush reached an instance holding nothing. The
callbacks move to refs, and the text and slider controls flush on blur or
value commit so Save and Export cannot read a stale preset.
- Controls reset to their definition default on a conversation or preset
change and only recovered ~560ms later, which showed saved values as
defaults and could write the default back.
The debounce regression test fails against the previous memo dependencies
and passes with the refs, so the flush is verified rather than assumed.
* fix: keep the context token bounds on the Google setting
The bounds came from the hand-rolled Google editor, but they were added to
the shared definition every endpoint renders, so blurring the field clamped
OpenAI, Anthropic, Bedrock and custom endpoints to a window that is only
Gemini's. Custom endpoints may declare context windows outside it.
* fix: agree with the generated schema across the sentinel gap
A stored value between range.min and zero passed through clampSettingRange
unchanged, though the schema admits only the sentinel or the positive floor,
so normalization could preserve a value the provider then rejects. Validate
a configured default against the same rule.
* fix: keep positiveMin on configured parameter definitions
The runtime schema for customParams.paramDefinitions retained only min, max
and step, so a configured positive floor was stripped before the UI saw it
while the shared SettingRange type advertised it.
* fix: commit a double-click slider reset immediately
The browser dispatches dblclick after the second pointer release, so the
value commit has already flushed and the reset sat in the debouncer. Saving
or exporting inside that window read the value the slider no longer showed.
* fix: normalize an out-of-range stored value on mount
The applied-range ref started at the first range, so the effect returned
immediately and a budget saved under the shared range stayed displayed and
savable when the selected model no longer allowed it.
* fix: normalize on navigation and keep sliders out of the sentinel gap
The parameters panel stays mounted across conversations, so a legacy budget
could arrive under a range that never changed; keying the normalization on
the conversation or preset identity as well catches it. After a navigation
the local value still belongs to the conversation being left, so the
incoming stored value is what gets normalized.
A slider steps straight through the gap between a sentinel minimum and its
positive floor, which the generated schema rejects, so the committed value
is clamped. It is also set before the flush: the keyboard path commits
before it reports the change, so the flush alone had nothing to write.
* fix: close the remaining paths into the sentinel gap
Applying a preset over the open conversation replaces the stored value
without changing the conversation id or the model, so normalization now also
triggers on a stored value that arrives differing from the local one. A
value the user typed reaches the conversation through this same field and
matches by the time it lands, so it stays on the blur-clamped path.
The slider's adjacent number input only flushed on blur, so a typed value
could sit in the gap the track is now kept out of.
A configured positiveMin above the maximum admits nothing but the sentinel
while the clamp maps every non-negative input onto a maximum the generated
schema rejects, so both the config schema and the definition validator
refuse it.
* fix: keep a non-negative sentinel and a loadable slider default
The minimum is the sentinel whatever its sign, and the generated schema
admits it outright, so a range like { min: 0, positiveMin: 10 } no longer
has its 0 lifted to the floor by the clamp.
The synthesized slider default took the midpoint of the whole range, which
for a sentinel range lands in the gap the validation added alongside it, so
an otherwise coherent custom definition failed to load. It now takes the
midpoint of the admissible interval.
---------
Co-authored-by: Danny Avila <danny@librechat.ai>
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| helm | ||
| otel/langfuse-fanout | ||
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| scripts | ||
| search | ||
| skill | ||
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| .gitignore | ||
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| 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 | ||
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| Dockerfile | ||
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| 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.