mirror of
https://github.com/danny-avila/LibreChat.git
synced 2026-10-21 17:44:11 +00:00
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
f20b978075
* 🎯 ci: Retarget Pull Requests Opened Against `main` to `dev` Contributions land on `dev`; `main` only moves at release time. With `main` as the repository's default branch, pull requests default to it, and the mismatch has been resolved by hand at merge time. Adds a `pull_request_target` hook that switches a newly opened or reopened pull request's base from `main` to `dev` and posts a one-time explanation, plus a manual `workflow_dispatch` sweep (dry-run by default) for the existing backlog. Release-bound upstream branches keep `main` as their base: `dev`, `release/*`, `hotfix/*`, `backport/*` and `*-main`. The `target: main` label exempts any pull request. The exemptions apply only to branches on this repository, so a fork branch that happens to match one of those names is still retargeted. The job checks out the trusted base commit rather than the pull request head, so the write-scoped token never runs contributor code. `pull_request_target` reads its workflow definition from the base branch, so this must exist on `main` to take effect. * 📝 docs: Record the `dev`-First Branch Policy for Agents `CLAUDE.md` and `AGENTS.md` never stated which branch work targets, and the default branch is `main` — so `gh pr create` and the GitHub UI point at `main` unless told otherwise, and an agent following the defaults gets it wrong. States the policy, the reason a backport to `main` is never needed (`main` is kept as a strict ancestor of `dev`), and the exemptions the retarget workflow honors. * 📐 docs: Record Typecheck, Formatting and Issue-Closing Gotchas for Agents Four repeat cycle-wasters that neither file stated, each verified against the current tree: - `tsdown` emits without typechecking, so `npm run build` proves nothing about types in `packages/api`, `packages/client` or `packages/data-schemas`; only `packages/data-provider` runs `tsc` in its build. - `packages/client/tsconfig.json` excludes `*.spec.ts(x)` and `*.test.ts(x)`, so type errors in its specs surface only at run time. - `npm run sort-imports` with no arguments rewrites all six source roots. - `Fixes #N` never closes an issue here, because closing keywords are honored only on merges into the default branch and everything merges to `dev`. Also notes that worktrees share one stash stack, and points at `npm run static-checks -- --against origin/dev` as the local mirror of CI. * 🔁 fix: Address Codex Review on the Retarget Workflow - **Backport branches are no longer exempt.** Exempting `backport/*` and `*-main` contradicted the invariant the policy rests on: `main` is a fast-forward of `dev`, so a backport merged straight to `main` is precisely what breaks it. `target: main` remains the deliberate, explicit escape hatch; `dev`, `release/*` and `hotfix/*` stay exempt as release-bound branches. - **`npm run update` does not sync `dev`.** `config/update.js` hard-codes `git checkout main` and `git pull origin main` — it is the self-host deployment updater, not a branch-sync tool. Telling contributors to refresh `dev` with it would have branched them off `main` and recreated the very flow this change exists to prevent. Replaced with the explicit git commands. - **A dry run no longer reports work it did not do.** The summary said "Retargeted N" on a dispatch that wrote nothing, which could read as a completed sweep. - **A failed explanation comment is recorded, not swallowed.** The base edit has already landed at that point, so a later run would skip the pull request and the contributor would never receive the note. It now counts, fails the run, and names the retry: `EXPLAIN_MISSING=true`, which posts a missing explanation onto an already-retargeted pull request. - **The sweep paginates.** `gh pr list --limit 500` is a cap, not a page size, and would have silently ignored the remainder while reporting success. Verified against the stubbed `gh` boundary: `*-main` now retargets, the dry run performs zero writes and says so, a failing comment yields a non-zero exit, and `EXPLAIN_MISSING` posts onto a pull request already based on `dev`. The paginated query returns all 258 open pull requests based on `main`. * 🧷 fix: Address the Second Codex Round on the Retarget Workflow - **`already_explained` now separates "lookup failed" from "no marker".** A transient comments-API failure returned the same status as a clean miss, so the run would post a second explanation and report success — defeating the deduplication it exists for. A failed read now declines to post and is recorded. - **`CONTRIBUTING.md` syncs from the canonical remote.** The previous fix pulled `dev` from `origin`, which in the fork-based flow described two sections later is the contributor's own fork — so it would fail outright or silently sync a stale branch, landing them on the wrong base again. - **The hook retries on `synchronize`.** If the `opened` run failed before `gh pr edit` landed, nothing retried and the pull request stayed on `main`. A retargeted pull request no longer matches `branches: [main]`, so this adds no redundant runs — and the existing backlog now drains on contributor activity rather than only by sweep. - **Sweeps serialize against each other** via a shared concurrency group, while the hook stays keyed per pull request. Deliberately not one global group: GitHub keeps a single pending job per group, so a burst of openings would cancel queued retargets — trading a rare duplicate comment for dropped retargets is the wrong way round. - **`main` is an ancestor of `dev`, not a strict one.** Right after a sync the two refs are equal, which the previous wording described as a violated invariant. Verified: a failing comments lookup edits the base but posts nothing and exits non-zero. |
||
|---|---|---|
| .claude/skills | ||
| .devcontainer | ||
| .github | ||
| .husky | ||
| .vscode | ||
| 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.