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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
ac2aef00f6
* 🧭 fix: Carry Quoted Excerpts Through Mid-Run Steering "Add to chat" quote chips were dropped by every during-run steer path: the steer POST had no quotes concept, so a composer-origin steer left the chip staged (gluing onto the NEXT send) and a queued item steered into the live run lost its quotes silently. Quotes now ride the steer protocol end to end: - POST + admission: `quotes` on the steer body, normalized like the chat route's (getReferencedQuotes caps), part of the idempotency fingerprint only when present so pre-existing receipts still replay. - Injection: merged into the model-bound turn as Markdown blockquotes at both boundaries (text-only and media paths), mirroring prependQuotes. - Persistence + replay: the STEER content part stores `quotes` separately from the typed text; stampSteerPartMedia re-merges them per turn (even with resendFiles off) via the SDK's transient media stamp, with the quote block folded into the token budget. - UI: composer steers/interrupt-steers drain the chips (skill picks stay staged — they configure a NEW turn's run); SteerPart and the in-flight bubble render the same MessageQuotes reference blocks as user bubbles; queued/failed rows show a quote count; reconnect reseeds fall back to the server item's quotes when no local chip survives. - buildMessages keeps its zero-await path to the parallel context kickoff via a synchronous stamp-target probe. * 🧭 fix: Keep Quotes in the Client-Safe Steer Projection toPendingSteer is the projection behind resume-state pendingSteers, abort responses, and terminal leftover claims — dropping quotes there would lose them on exactly the recovery paths the reconnect reseed's server fallback relies on. * 🧪 test: In-Flight Steer Bubble Renders Carried Quotes * 🔁 fix: Re-Stage Quotes When a Pre-Quotes Replica Accepts the Steer Codex flagged the rolling-deploy window: an old replica 202s a quoted steer while dropping the excerpts, so the client cleared the chips for context the model never received. The 202 (fresh and receipt replay) now echoes quotesAccepted from the DURABLE item; a missing echo on a quote-bearing composer-origin steer re-stages the excerpts as composer chips — the pre-steer behavior, so they ride the next send instead of vanishing — and strips them from the surviving chip so a later terminal conversion cannot duplicate them. Queued-origin steers keep quotes on the item, whose restore paths already return it intact. The residual cross-version lost-ACK retry stays fail-closed as a 409 idempotency conflict (failed chip with retry controls). * 🔁 fix: Close the Remaining Cross-Version Quote-Loss Windows Codex round 2: - Send now of a quoted queued item against a pre-quotes replica now re-stages the excerpts too (the row is consumed and the words inject bare, so the composer is their only remaining home); the strip clears the chip's captured origin copy so reclaims and terminal conversions cannot duplicate them. - A quoted retry whose lost first ACK was accepted by a pre-quotes replica now REPLAYS that legacy receipt instead of 409ing: the stored fingerprint matching the quote-less hash of the same words proves the cross-version case, and the replayed 202's missing echo drives the re-stage. Different quotes against a quote-bearing receipt still conflict. - TSteerAppliedEvent.part gains the quotes field (typed SSE consumers). * 🧪 test: Drop the Stale Narrow SteerDrainOutput Alias The spec's local intersection re-declared injectedMessages with content: string, predating the SDK pin that declares the field natively (content: string | MessageContentComplex[]). Under CI's clean install the hook's BaseHookOutput is no longer assignable to that narrower alias; the plain PostToolBatchHookOutput is the correct type for every drain/boundary assertion. Verified against the published 3.6.16 dist and the local one. * 🔁 fix: Honor the Generation Owner's Quote Capability End to End Codex round 4: - steerQuotesCapable rides job metadata (createJob + HITL resume rewrite), mirroring preemptCapable's owner-recorded pattern: an upgraded admission replica no longer stores quotes — or claims them accepted — for a generation whose older owning drain would silently drop them at injection. The missing echo drives the client re-stage, and a later capable handover cannot double-deliver restored context. - Applied events reconcile dropped quotes: when a quote-less applied part settles a quote-bearing chip (the lost-202 ordering the ACK-echo path cannot see), resolveSteerChip and both reconnect settle paths re-stage the chip's excerpts before removing their only copy. mergeRestagedQuotes dedupe keeps every trigger idempotent for the same excerpts. * 🔁 fix: Re-Read Quote Capability at the Last Moment and Cap Restaged Chips Codex round 5: - A HITL resume rewrites steerQuotesCapable without changing the generation's createdAt, so the enqueue fence cannot see a capable-to-legacy handover landing during admission's awaits. Re-read the owner's flag immediately before item construction (paid for only by quote-bearing requests); the residual between re-read and enqueue commit matches preemptCapable's documented race. - mergeRestagedQuotes now respects the 10-quote contract with the staged chips winning: a restored tail that cannot ride the next send is dropped explicitly instead of rendering as a chip the submission would silently discard. MAX_QUOTE_COUNT moves to utils/steer as the single client source; QuoteButton imports it. * 🔁 fix: Steer Quote Coverage for Preflights, Memory, and Single-Scan Stamping Codex round 6: - Stored-message policy inspection now extracts steer-part quotes as quote fragments (path /content/N/quotes/M), so conversation import and shared link preflights inspect the newly persisted field exactly like top-level message.quotes. - The memory copy gets its own quote-merge stamp (text only, resendFiles false): formatAgentMessages ignores part.quotes, so without it a steer whose substance lives in its excerpt reached the chat model but never memory extraction. - collectSteerStampTargets replaces the boolean probe: buildMessages collects once and hands the targets to stampSteerPartMedia, keeping the zero-await fast path without scanning the history twice. * 🔁 fix: Redis Quote Plumbing, Conversion-Race Guard, and Quote-Bound Recovery Proof Codex round 7: - RedisJobStore.deserializeJob now restores steerQuotesCapable (the explicit mapper otherwise dropped it on every read, leaving quote steering inert in Redis deployments), with the round-trip spec extended. - Both Lua parked-steer projections (terminal close + generation replacement) forward item.quotes, matching toPendingSteer — a lost final no longer strips excerpts from durable recovery in Redis mode. - The no-echo restage reads the SURVIVING chip (reclaimRejectedChipQuotes): a terminal conversion that beat the delayed 202 already moved the quotes onto the queued follow-up, and re-staging them again double-delivered. Regression-tested with the conversion-before-ACK ordering. - RecoveredSteerPayload binds normalized, order-significant quotes (builder, validator, TS matcher, and the Lua decode+matcher): a stale client presenting the same recoverySteerId with altered or missing quotes cannot consume the parked source. Quote-less sources keep matching quote-less recoveries. * 🔁 fix: Execution-Bound Quote Capability with an Atomic Enqueue Predicate Codex round 8: - steerQuotesCapable becomes a transient assertion translated (at createJob and in ApprovalLifecycle.resolve) into steerQuotesExecutionId, valid only while it equals the LIVE providerExecutionId. A legacy replica winning a HITL resume rewrites the execution id without knowing the marker, so its stale assertion self-invalidates — a bare boolean could not be cleared by code that predates it. - The fenced enqueue evaluates that equality atomically (all three Redis scripts decode-and-strip like the existing preemptCapable normalization; both InMemory sites mirror it) and returns the persisted item, so the quotesAccepted echo reflects exactly what was stored even when a handover lands between admission's read and the commit. The last-moment re-read is gone — the transaction is the authority. - Tests: capable-resume re-binding, legacy-resume omit-not-clear invalidation, the admission-vs-handover race (capability read true, then execution rewritten before enqueue), and the Redis round-trip of the marker. * 🔁 fix: Full Redis Parking Coverage and Loss-Moment Quote Restaging Codex round 9: - The two remaining Redis parking projections (terminal status CAS and stale-running cleanup) forward item.quotes — every field-picked steer projection now carries them (audited: 2 Lua 'projected' + 2 Lua 'clientItem' + toPendingSteer). - The ordinary no-echo ACK no longer re-stages: the steer has not injected yet, so the quotes stay carried on the pending chip. A quote-less applied event re-stages them at the actual loss; a terminal leftover conversion carries them onto the recovered row, whose normal send delivers quotes on any server — re-staging at the ACK let that leftover auto-send bare text while the excerpts glued onto an unrelated draft. Only the settled receipt replay (already injected, no future event) reclaims immediately. * 🔁 fix: Legacy-Replayable Receipts with Separate Quote Identity Codex round 10: an upgraded-first receipt stored a quote-inclusive fingerprint no pre-quotes replica could recompute, so a lost-ACK retry routed through one 409'd already-accepted words with duplicate-send controls. The durable fingerprint reverts to the quote-independent 3-field hash — the one shape EVERY deployed version computes, replayable across a rolling deploy in both directions — and quote identity moves beside it as requestedQuotesFingerprint (of the REQUESTED quotes, pre any capability strip, so an incapable-owner acceptance still replays its own retries). Absent records (legacy-written or quote-less) accept any same-words retry, preserving the round-5 rule; present records must match exactly, keeping different-quotes clientSteerId reuse a 409 on quote-aware readers. Under the keep-on-chip client contract a legacy replay's missing echo is harmless — the excerpts stay carried on the pending chip. * 🧪 chore: Re-Trigger CI After Dropped Workflow Events |
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| librechat.example.yaml | ||
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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
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- 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
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💾 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
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💬 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
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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
-
🗣️ 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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🎛️ 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.