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 b0f61d06fe 🗂️ fix: Resolve Code Interpreter Destination Collisions
Codeapi mounts each `/exec` input at a destination derived from its `name`
and rejects the whole request when two entries land on one. LibreChat never
enforced that: `primeFiles` sent `name: file.filename` verbatim, and the
graph seed deduped by `(storage_session_id, id)` — identity, not destination.

Two conversation files sharing a filename therefore killed code execution for
the rest of the conversation. The rejected request never reaches the sandbox,
so no result comes back to collapse the pair, and every later turn re-primes
both and fails identically. Only code-generated outputs are covered by the
`(filename, conversationId, context, tenantId)` partial unique index; uploads
carry `context: message_attachment`, so one conversation can hold several
records sharing a filename — two uploads of `image.png`, or an upload whose
name a later execution wrote back in place.

`packages/api/src/files/code/destinations.ts` now owns the name → destination
mapping for every contributor to an `/exec` file list, mirroring codeapi's
conflict rule including directory-prefix conflicts:

- `primeFiles` claims per pushed file, disambiguating with a `-2`, `-3`
  counter and echoing the resolved path into the tool context, so the model
  is told where each file actually mounts. Claim order comes from immutable
  `createdAt`, not `getFiles`'s `updatedAt` sort, which usage accounting and
  re-upload both bump — order-dependent destinations would silently repoint
  a path an earlier turn had already handed the model. Newest wins the bare
  name, matching `ToolNode.updateCodeSession` and giving an in-place rewrite
  precedence over the original it superseded.
- `seedCodeFilesIntoSessions` drops a later file whose destination is already
  claimed. Renaming there would invent a path nothing told the model about,
  and a conflict at that layer means one logical file arrived twice under
  different storage pointers.

Fixes #15443
2026-08-31 23:46:45 -04:00
.claude/skills
.devcontainer
.github 🧩 ci: Scope Each Image's Digest Artifacts to Its Own Manifest Merge (#15444) 2026-08-31 22:29:33 -04:00
.husky
.vscode
api 🗂️ fix: Resolve Code Interpreter Destination Collisions 2026-08-31 23:46:45 -04:00
client 🖼️ fix: Give a Phase's Files Their Own Media Row (#15435) 2026-08-31 22:05:27 -04:00
config
e2e 🧪 fix: Align Detached Activity E2E With the Removed Running Chip (#15382) 2026-08-30 19:53:59 -04:00
helm
otel/langfuse-fanout 📦 chore: Bump Packages from LibreChat SCA Audit (#15410) 2026-08-31 08:51:17 -04:00
packages 🗂️ fix: Resolve Code Interpreter Destination Collisions 2026-08-31 23:46:45 -04:00
redis-config
scripts
search
skill
src/tests
utils
.codex 🧴 fix: Strip LangChain URLs From Provider Errors (#15421) 2026-08-31 12:51:34 -04:00
.dockerignore
.env.example
.gitattributes
.gitignore
.nvmrc
.prettierrc
AGENTS.md 🎯 ci: Retarget Pull Requests Opened Against main to dev (#15416) 2026-08-31 11:29:34 -04:00
bun.lock
CLAUDE.md 🎯 ci: Retarget Pull Requests Opened Against main to dev (#15416) 2026-08-31 11:29:34 -04:00
CONTEXT.md 📬 feat: Move Agent Queued Turns Server-Side (#15370) 2026-08-30 21:53:58 -04:00
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 🧲 feat: Enable Secure Attached Environment Pairing (#15355) 2026-08-30 17:12:20 -04:00
LICENSE
package-lock.json 🛗 chore: Elevate @librechat/agents to 3.7.11 and multer to 2.3.0 (#15409) 2026-08-31 08:51:30 -04:00
package.json 📦 chore: Bump Packages from LibreChat SCA Audit (#15410) 2026-08-31 08:51:17 -04:00
rag.yml
README.md
README.zh.md
tool-intent-spec.md
turbo.json

LibreChat

English · 中文

Deploy on Railway Deploy on Zeabur Deploy on Sealos

Translation Progress

🚀 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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