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/
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Danny Avila d6d6b04804
📱 fix: Recover the Stream After a Mobile Tab is Backgrounded (#15050)
* 📱 fix: Recover the Stream After a Mobile Tab is Backgrounded

`sse.js` is XHR-based, so a mobile browser that backgrounds or freezes the
tab cancels the in-flight request and the transport reports `abort`, not
`error`. The abort listener assumed every abort was one this hook issued and
went idle — leaving the pane holding whatever partial content arrived before
the switch, looking finished, with nothing left to re-read the conversation:
`useResumeOnLoad` only runs when entering a conversation, and the messages
query never refetches on focus, mount or reconnect.

An abort reaching that listener before any terminal event and outside a
reconnect or handoff is a user-agent cancellation — every close this hook
owns is already fenced by the lifecycle signal, `reconnectAttemptRef`, the
handoff flag or `finalReceived`. Schedule the same backoff reconnect the
transport-error path uses so the existing recovery adjudicates: a live job
replays what was missed, a finished one 404s into the durable refetch.

A frozen tab can also lose its stream with no event at all — an intermediary
ends the response body, XHR reports an ordinary load, and sse.js dispatches
nothing. Re-attach on `visibilitychange` when this subscription's transport
is already closed with no terminal event behind it.

* 🩹 fix: Retire a Subscription the 404 Reconcile Already Terminalized

The foreground re-attach keyed only on `finalReceived`, but the two terminal
recoveries that do not ride a frame — the 404 and retry-ceiling reconciles —
never set it. The 404 path also leaves the submission installed and `sseRef`
pointing at the closed attachment, so every one of its guards still passed:
switching apps after the exact recovery this PR is about would resubscribe to
a stream the server no longer has, 404 again, and republish an `aborted`
run-end into the queue drain on each return.

Fold the dev-only close flag into a `subscriptionRetired` marker that both
terminal reconciles set, and gate the abort and foreground paths on it
alongside `finalReceived`.

* 🔌 fix: Fence Owned Closes Per Connection and Pin the Transport Contract

`reconnectAttemptRef` is shared across the whole reconnect ladder and stays
raised from the moment a retry is scheduled until the replacement connection
opens. The abort listener read it as "this close was ours", so a user agent
that cancelled the replacement before it opened — the ordinary case when the
retry timer fires while the tab is still backgrounded — was attributed to the
previous connection's deliberate close, and recovery stopped there with the
stream detached. Ownership is per connection, so track it per connection:
every close this subscription performs goes through `closeStream`, and the
listener keys on that instead.

An unsolicited abort is a dropped connection by every meaningful measure, so
hand it to the transport-failure path verbatim rather than running a second
ladder beside it. That path already climbs its backoff, adjudicates the retry
ceiling against durable status, and terminalizes into the durable refetch —
none of which the hand-rolled branch did, which is how the replacement's
failure could dead-end in the first place.

The mock transport now fires `abort` from `close()` like the real one, so our
own closes are exercised through the same listener rather than around it, and
a contract spec pins the two sse.js behaviours the recovery reads: a response
body that merely ends dispatches neither error nor abort but does mark the
connection closed, and a cancelled request dispatches abort.
2026-08-21 01:33:39 -04:00
.claude/skills 🪝 feat: Execute Agent Plugin Command Hooks (#14755) 2026-08-12 13:21:15 -04:00
.devcontainer 🐳 chore: Upgrade Docker Builds To Node 24 (#13448) 2026-06-01 10:03:18 -04:00
.github ✨ refactor: Presets, Skills Motion and Model Selector Polish (#14953) 2026-08-19 15:49:47 -04:00
.husky 🔧 chore: Update ESLint config, Import Sorting script, Test Sharding, Bump @librechat/agents (#13552) 2026-06-06 12:31:55 -04:00
.vscode
api 🧵 fix: Close Child-Thread Read and Search-Cleanup Gaps (#15055) 2026-08-21 00:44:37 -04:00
client 📱 fix: Recover the Stream After a Mobile Tab is Backgrounded (#15050) 2026-08-21 01:33:39 -04:00
config ⏱️ feat: Run Scheduled Chats Through Durable Agent Triggers (#14939) 2026-08-20 11:51:30 -04:00
e2e 🧲 refactor: Consolidate Claude Prompt Cache and Context Checks (#15008) 2026-08-20 12:18:50 -04:00
helm 🚀 chore: Prepare v0.8.8-rc1 (#14394) 2026-08-14 03:24:59 -04:00
otel/langfuse-fanout 🪢 fix: Harden Langfuse Media Upload Targets (#14974) 2026-08-18 22:06:33 -04:00
packages 🔌 refactor: Extract Git Repository Adapter From Skill Sync (#15052) 2026-08-21 01:14:11 -04:00
redis-config
scripts 🌉 fix: Preserve Missing Locize Translations (#14917) 2026-08-17 02:20:25 -04:00
search 🐋 chore: add opt-in alternative local stack experiments (#14678) 2026-08-07 10:40:58 -04:00
skill 🗂️ feat: Add Deployment Skill Directory (#13523) 2026-06-05 10:24:28 -04:00
src/tests
utils
.dockerignore
.env.example ⏱️ feat: Run Scheduled Chats Through Durable Agent Triggers (#14939) 2026-08-20 11:51:30 -04:00
.gitattributes
.gitignore 🧪 test(e2e): add Bombadil property exploration (#14462) 2026-08-10 02:11:06 +02:00
.nvmrc 🐳 chore: Upgrade Docker Builds To Node 24 (#13448) 2026-06-01 10:03:18 -04:00
.prettierrc
AGENTS.md 📐 docs: Make CLAUDE.md Portable and Restore AGENTS.md Parity (#15046) 2026-08-20 17:28:49 -04:00
bun.lock ⬆️ chore: Bump @librechat/agents to v3.6.0 (#14890) 2026-08-16 09:15:35 -04:00
CLAUDE.md 📐 docs: Make CLAUDE.md Portable and Restore AGENTS.md Parity (#15046) 2026-08-20 17:28:49 -04:00
CONTEXT.md 🪃 feat: Wake Parent Agents on Child Completion (#14975) 2026-08-19 12:18:31 -04:00
deploy-compose.langfuse-fanout.yml 🪭 feat: support per-run central langfuse export suppression (#14207) 2026-07-12 08:03:27 -04:00
deploy-compose.yml 🫆 chore: Remove Published Credential Defaults (#14680) 2026-08-07 07:25:05 -04:00
docker-compose.langfuse-fanout.yml 🪭 feat: support per-run central langfuse export suppression (#14207) 2026-07-12 08:03:27 -04:00
docker-compose.override.yml.example
docker-compose.yml 🫆 chore: Remove Published Credential Defaults (#14680) 2026-08-07 07:25:05 -04:00
Dockerfile 🚀 chore: Prepare v0.8.8-rc1 (#14394) 2026-08-14 03:24:59 -04:00
Dockerfile.multi 🚀 chore: Prepare v0.8.8-rc1 (#14394) 2026-08-14 03:24:59 -04:00
eslint.config.mjs 🎨 feat: Refine Client Colors and Sharing Dialogs (#14734) 2026-08-10 22:43:57 -04:00
librechat.example.yaml ⏱️ feat: Run Scheduled Chats Through Durable Agent Triggers (#14939) 2026-08-20 11:51:30 -04:00
LICENSE
package-lock.json 📦 chore: bump @librechat/agents to v3.6.9 (#15037) 2026-08-20 12:44:21 -04:00
package.json 🏎️ ci: Focus Redis E2E Coverage (#14842) 2026-08-14 12:54:30 -04:00
rag.yml
README.md 🚀 chore: Prepare v0.8.8-rc1 (#14394) 2026-08-14 03:24:59 -04:00
README.zh.md ✨ v0.8.7-rc1 (#13592) 2026-06-15 13:10:30 -04:00
tool-intent-spec.md 🎯 feat: Tool Intent Label Capability (tool_intents) (#14499) 2026-07-29 15:40:52 -04:00
turbo.json 🌯 chore: Retire Rollup-Era devDependencies After tsdown Migration (#14496) 2026-07-28 22:08:52 -04:00

LibreChat

English · 中文

Deploy on Railway Deploy on Zeabur Deploy on Sealos

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🚀 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 .potx templates 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
  • 🔧 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
      • 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

  • 💾 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
  • 🌊 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.


🌐 Resources

GitHub Repo:

Other:


📝 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

Star History Chart

danny-avila%2FLibreChat | Trendshift ROSS Index - Fastest Growing Open-Source Startups in Q1 2024 | Runa Capital


✨ 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.

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