* feat: add $ command popover for manual skill invocation
Adds a new `$` command trigger in the chat textarea that opens a
searchable popover listing user-invocable skills. Selecting a skill
inserts `$skill-name` into the message and enables the skills badge
on the ephemeral agent. Follows the same patterns as `@` mentions
and `/` prompts.
* test: update useHandleKeyUp tests for $ skill command
Add showSkillsPopoverFamily, dollarCommand, and SKILLS permission
to the store/recoil/access mocks. Include test cases for the $
trigger, toggle gating, and permission gating.
* fix: address review findings in SkillsCommand
- Exclude auto-mode skills from popover (isUserInvocable now
returns false for InvocationMode.auto)
- Rewrite JSDoc to match the corrected filter logic
- Guard ArrowUp/ArrowDown against NaN when matches is empty
- Replace useRecoilState with useSetRecoilState for ephemeralAgent
to avoid subscribing to unrelated agent state changes
- Move skills guard into setter callback and drop ephemeralAgent
from handleSelect dependency array
- Add e.preventDefault() for Tab key alongside Enter
- Render error state (com_ui_skills_load_error) on query failure
- Render empty state (com_ui_skills_empty) when no matches
- Hoist ScrollText icon to module-level constant
- Export isUserInvocable for testability
* fix: address follow-up review findings
- Differentiate empty-catalog ("No skills yet") from no-match
search ("No skills found") using existing com_ui_no_skills_found
- Clamp activeIndex when matches shrink from search filtering to
prevent silent Enter/Tab failures
- Add early return after Escape handler to skip redundant checks
- Reorder package imports shortest-to-longest after react
- Add fast-typing test case for $ command ("$sk" at position 3)
* fix: gate $ command on assistants endpoint, fix Tab on empty matches
- Block $ popover on assistants/azureAssistants endpoints where
ephemeralAgent is not sent in the submission payload
- Allow Tab to close the popover when matches is empty instead of
trapping keyboard focus
- Add endpoint gating tests for $ on both assistants endpoints
* fix: reset skills popover on assistants switch + paginate skills query
- Close $ skills popover when endpoint switches to assistants or
azureAssistants, mirroring the existing + command reset
- Switch SkillsCommand from a single-page list query to the
cursor-paginated useSkillsInfiniteQuery and auto-fetch all pages
so client-side search covers the full catalog instead of only
the first 100 entries
- Show the spinner during background page fetches and suppress the
empty-state copy until paging completes
- Add test for popover reset on endpoint switch
* fix: prevent currency hijack and form submit on $ command
- Reject the $ trigger when fast-typed text after $ does not start
with a lowercase letter, so currency input like $100 or $5.99
no longer opens the skills popover and clears the textarea
- preventDefault() on Enter when the popover has no matches so
the surrounding chat form does not submit when the user dismisses
the popover via Enter
- Add tests for $100 and $5.99 currency inputs
* fix: defer $ popover to second keystroke and stop pagination on errors
- Defer opening the skills popover until a letter follows the $
character. Bare $ no longer triggers the popover, so starting a
message with $100, $5.99, or $EUR is fully preserved (the
textarea is not cleared by useInitPopoverInput on the first
keystroke). $a, $skill, $my-skill still open as expected.
- Add a sticky paginationBlockedRef circuit breaker on the auto
fetchNextPage effect so a transient page request error cannot
spin into an unbounded retry loop when isError flips back to
false on the next attempt.
- Update tests: bare $ no longer triggers, $a does, currency cases
remain blocked.
* feat: scaffold structured manual-skill channel for follow-up PR
Add a per-conversation pendingManualSkillsByConvoId atom family
that SkillsCommand appends to on selection. This is the writer
half of the structured channel that will let a follow-up PR
deterministically prime SKILL.md as a meta user message before
the LLM turn (mirroring Claude Code's `/skill` invocation), so
the backend never has to regex-parse `$name` out of user text.
The submit pipeline does not yet read this atom; the textual
`$skill-name ` insertion remains the authoritative signal until
the follow-up wires the read + reset on submit. Reset is already
wired into useClearStates so the atom does not leak across
conversation switches.
* test: cover SkillsCommand selection-flow contract
Add a component test that locks in the contract the follow-up
manualSkills PR has to honor when a user picks a skill in the $
popover:
- Pushes the skill name onto pendingManualSkillsByConvoId (the
per-conversation structured channel), with dedup
- Flips ephemeralAgent.skills to true via the callback-form setter
- Inserts $skill-name into the textarea as cosmetic confirmation
- Closes the popover via setShowSkillsPopover(false)
- Renders nothing when the popover atom is false
Mocks recoil setters and the skills query so the test exercises
the real component logic without spinning up the full provider
stack.
* revert: drop $ defer-until-letter guard for sibling consistency
Bring $ in line with @, /, and +: open the popover on the bare
trigger character. The earlier defer guard kept currency input
like \$100 from clobbering the textarea, but it broke the natural
"type \$ to browse skills" UX and was inconsistent with the other
trigger chars, none of which gate on the follow-up character
(/path/to/file, @username, +1 all clear the textarea the same way).
The currency hijack remains recoverable via Escape.
Drop the corresponding paste-protection tests for \$100 and \$5.99,
restore the bare-\$ trigger test.
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| .do/gitnexus | ||
| .github | ||
| .husky | ||
| .vscode | ||
| api | ||
| client | ||
| config | ||
| e2e | ||
| helm | ||
| packages | ||
| redis-config | ||
| src/tests | ||
| utils | ||
| .dockerignore | ||
| .env.example | ||
| .gitattributes | ||
| .gitignore | ||
| .prettierrc | ||
| AGENTS.md | ||
| bun.lock | ||
| CLAUDE.md | ||
| deploy-compose.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 | ||
| turbo.json | ||
LibreChat
English · 中文
✨ 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
-
🔦 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
- 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 allow creation of React, HTML, and Mermaid diagrams directly in chat
-
🎨 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
-
⚙️ Configuration & Deployment:
- Configure Proxy, Reverse Proxy, Docker, & many Deployment options
- 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.