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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
971e076015
* refactor: replace agent skills toggles with a three-way mode control
The Skills section in the agent builder exposed one dependent choice as two
peer switches. "Use all skills" only meant anything while "Enable skills" was
on, and turning it on hid the skill list, so the user could not see what "all"
covered. Two Add affordances competed for the same action and both labels
leaned on a tooltip to explain themselves.
Replace both switches with a single segmented control over the SkillsScope
enum that already existed. Off, All, and Selected now write skills_enabled and
skills_scope outright, so the mode is the only source of truth for catalog
exposure and the allowlist survives a round trip through All.
Extract the section into SkillsSection. That drops the badgeText, showAdd,
showBody, and children props SelectedSection only carried to bend the tools
layout into a skills layout, and it retires skillsSelectionTransition, which
inferred the capability flags from the allowlist length and flipped skills off
whenever the last skill was removed.
All mode reports how many skills the deployment exposes and expands a
read-only list, so the catalog is never hidden. Selected mode keeps one Add
affordance: the dashed card while nothing is chosen, a header button once rows
exist.
Legacy agents keep loading through resolveAgentSkillsScope. The one ambiguous
persisted shape, skills_enabled with no explicit scope, is normalized on load
without dirtying the form so the next save records the mode explicitly.
Also give the shared Radio the roving tabindex and arrow key handling a
radiogroup owes its users; every segment was previously its own tab stop with
no way to change the selection from the keyboard.
* chore: add temporary PR comparison screenshots
* chore: drop temporary PR comparison screenshots
* fix: address PR review bot findings on the skills mode control
Codex (P1):
- Compare the resolved mode, not the raw persisted scope, before treating a
segment click as a no-op. An agent left with `skills_enabled: false` and a
retained `skills_scope` renders as Off, so matching on the raw field
swallowed the click that re-enables it while the shared Radio moved its own
selection, leaving the form clean and the disabled state persisted.
- Exempt explicit scopes from the legacy allowlist normalization in
AgentSelect. Off deliberately keeps the allowlist so returning to Selected
restores it, and flipping `skills_enabled` there persisted skills-enabled on
an agent shown as Off, which skillDeps reads as permission to inject the
skill-authoring tools.
Codex (P2):
- Report a failed catalog request instead of rendering it as an empty catalog.
All mode showed "0 skills available" over an empty list when /api/skills
failed; it now renders the picker's alert with a retry.
- Stop paging the whole catalog before the list is opened. Merely viewing an
All-scoped agent walked every cursor at 100 records a page and retained each
summary. Pagination now waits for the expansion, and the header reports the
loaded count as a floor while more pages remain.
- Honor an explicit `skills_scope` in both skill cleanup paths. Deleting the
last allowlisted skill, or pruning a dangling id on save, forced
`skills_enabled` to false without consulting the scope, so an All-scoped
agent that had once picked a single skill was silently switched off. The
fail-closed inference now applies only to legacy agents that persist no
scope at all.
Copilot:
- Skip the onChange when Home or End lands on the already-checked segment.
Focus still follows the key; only a selection that does not move stops
firing a form write.
* fix: address second round of PR review bot findings
Codex (P1):
- Normalize authoring left on under a resolved Off. An agent carrying
`skills_enabled: false` with `skill_authoring_enabled: true` renders as Off,
yet skillDeps enables the skill-authoring tools for either flag, so it ran
with skills the section reported as disabled. Clicking the already-selected
Off segment is a no-op, so nothing ever cleared it. The section now clears
the flag on load without dirtying the form, matching what selecting Off
already writes.
Codex (P2):
- Apply the scope-aware pruning in createAgent and revertAgentVersion too, not
only updateAgent. Restoring an All-scoped version whose skills have since
been deleted silently came back as Off, and createAgent had the same
unconditional branch for ids that go stale before the write lands.
- Collapse the duplicate first-page skills request. ToolsSection listed skills
through useListSkillsQuery while the section and the picker used
useSkillsInfiniteQuery, so the same endpoint was fetched under two React
Query keys and could not be deduplicated. All three consumers now share the
infinite query, which leaves one cache entry instead of two.
Also sorts the imports the repo's checker flagged in SkillsSection,
ToolsSection and the section's spec.
* fix: clear the skills master flag under a resolved Off
`skills_enabled: true` with `skills_scope: none` is a shape the API accepts,
and the resolver reports it as Off. `skillDeps` reads the master flag on its
own as permission to expose the skill-authoring tools, so the agent ran with a
capability the section said was disabled, and because clicking the
already-selected Off segment is a no-op there was no way to clear it without
cycling through another mode.
The normalization that already cleared `skill_authoring_enabled` now clears
both flags whenever the resolved mode is Off, still without dirtying the form.
Neither write fires while a catalog mode is active.
* fix: disable skills for an explicit none scope in allowlist cleanup
The scope-aware fail-closed rule exempted every explicit scope, which spared
one shape it should not have: `skills_enabled: true` with `skills_scope: none`.
The API accepts that combination, the builder renders it as Off, and skillDeps
reads the master flag on its own as permission to expose the skill-authoring
tools. Cleanup runs server side without the builder mounted, so the frontend
normalization cannot repair it.
Only `all` and `selected` opt out now, since each already defines what an
empty allowlist means. The three self-heal paths in agent.ts share a
`requiresSkillsDisable` predicate, and the Mongo filter in skill.ts uses
`$nin: [all, selected]`, which still matches an absent field for legacy
agents.
* test: align the skills e2e spec with the explicit-mode contract
Three assertions still encoded the removed toggle behavior:
- The remove button is labelled `Remove {name}` in the new section, not
`Remove from agent`, so both removal steps waited 180s for a button that no
longer exists. That was the timeout, not a failed expectation.
- Emptying the allowlist no longer infers Off. The save writes `skills: []`
and leaves the mode at Selected, which resolves to no skills at runtime, so
the spec now asserts `skills_enabled: true` with `skills_scope: 'selected'`
and keeps the existing proof that the picker and the run expose nothing.
- All leaves `skills` untouched, so a fresh agent serializes no allowlist at
all rather than an empty one: `composeAgentUpdatePayload` always carries the
four skill fields and `JSON.stringify` drops the undefined ones. Create and
Off now assert `skills_scope` instead of an empty array.
Adds `skills_scope` to the spec's payload and detail types.
* fix: address third round of PR review bot findings
All three are P2 accuracy and cost issues in All mode:
- Count only the skills the runtime would inject. The list endpoint returns
every skill the user can VIEW, while catalog resolution filters each through
`resolveSkillActive`, so a shared skill left inactive was counted and listed
as available even though the agent never receives it. The section now shares
the `isActive` predicate the chat-side picker already filters on, so the
count cannot promise more than the runtime delivers.
- Report loading instead of an empty catalog. With a cold query `data` is
undefined and the count derived to "0 skills available", presenting an empty
deployment while it was merely loading.
- Skip the allowlist lookups outside Selected. `useResolvedSkills` issues one
`getSkill` per allowlisted id missing from the first catalog page, and since
All now retains previous picks, merely viewing such an agent could fire
hundreds of requests for rows that mode never renders. The fallback is gated
on Selected, where the rows exist.
* fix: gate the All catalog on resolved skill states
`useSkillActiveState` substitutes an empty override map while its own request
is in flight and after it fails, so `isActive` reports every skill active in
both states. The section consumed the predicate but discarded the status, so a
deliberately deactivated owned or deployment skill was counted and listed as
available: briefly during load, and permanently after an error.
The count now waits for both requests, and a failure in either renders the
alert instead of a count the runtime would not honor. Retry refetches both,
which needed the hook to expose its `refetch`.
* fix: resolve the config behind defaultActiveOnShare before filtering
`useSkillActiveState` reads `defaultActiveOnShare` from the interface config
and falls back to `false` while that request is pending or after it fails, so
a deployment configured with `true` had its shared skills filtered out of the
All count until the config landed, and permanently on error. The section only
gated on the skills and skill-states queries.
Both dependencies feed `isActive`, so the hook now reports them as one
signal: `isLoading` and `isError` cover the override map and the config
alike, and `refetch` retries both. A consumer gating on the pair can no
longer miss a dependency, which is how the previous gap arose. The section is
the only consumer of those flags.
Also composes the retry from the shared `Button` (`outline`, `sm`), matching
the picker's own retry instead of a feature-local recipe.
* fix: report what the All catalog loaded, not a lower bound
`hasNextPage` tracks raw pagination while the rows are filtered to the
runtime-active skills, so the two disagree: 30 active skills followed only by
deactivated ones made the header read "30+ skills available" when 30 was the
true total, and it stayed wrong until the user expanded the list and finished
paging.
While pages remain the header now describes what has been loaded rather than
claiming a floor on what is available, so it cannot overstate the catalog. The
exact "N skills available" phrasing still lands once the catalog is complete.
`com_ui_skills_available_count_more` is replaced by singular and plural loaded
keys.
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|---|---|---|
| .claude/skills | ||
| .devcontainer | ||
| .github | ||
| .husky | ||
| .vscode | ||
| api | ||
| client | ||
| config | ||
| docs | ||
| e2e | ||
| helm | ||
| otel/langfuse-fanout | ||
| packages | ||
| redis-config | ||
| scripts | ||
| search | ||
| skill | ||
| src/tests | ||
| utils | ||
| .codex | ||
| .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-rc2
- Agent run control: Interrupt an Agent before visible answer text, steer runs with files and quoted excerpts, durably queue follow-ups, and recover saved partial work with Keep going or Answer now.
- Agent activity: Optional generated labels group reasoning and tool work, fold completed groups into live phase cards, keep generated files visible, summarize multi-step phases, and show the current reasoning direction.
- Human-in-the-loop Agents: Stream up to four related questions, pause for input or tool approval, and resume durably.
- Unified Agent Builder: Configure Skills, MCP, Code Interpreter, orchestration, Programmatic Tool Calling, model-spec controls, and per-tool background and intent settings in one Tools marketplace; Skills can be enabled for standalone runtime authoring without exposing the existing catalog.
- Durable Agent automation: Authenticated Agent Events support bound child actors, expected-action receipts, per-actor mailboxes, event batching, durable human pauses, and automatic detached Actions across built-in stream stores.
- Deeper Subagent history: Browse branch-aware child turns with bounded reasoning and stable live event views, load earlier activity, inspect event details, continue completed child chats, and automatically wake saved parent Agents when detached work settles.
- Background tools: Eligible Code Interpreter, MCP, Plugin, and Action tools can run while an Agent keeps working, with automatic delivery for supported completions and polling controls when needed.
- Code Interpreter workflows: Sandbox images return as viewable artifacts; highly experimental stateful sessions add scoped managed, attached, or personal environments, per-message file downloads, and guarded file-write and command permissions.
- Agent extensibility: Experimental Agent Plugins bundle deployment Skills, MCP servers, and opt-in command hooks; saved Agent teams run as isolated Subagent graphs.
- Scheduled Chats (experimental): Run saved Agents with presets or custom cron, selectable time zones, multi-day weekly cadence, and optional Chat Project destinations.
- Memory and context: Agents can use optionally isolated memory, preserve adaptive context fading across turns, and show categorized current-window usage, tokens, and optional cost.
- Editable long pastes: Long pasted text becomes an editable attachment that can be moved back into the composer; attachment-only turns and reliable Upload as Text downloads are also supported.
- Projects, settings, and navigation: Search conversation titles and message contents, manage project chats, use searchable settings and shortcuts, pin chats, choose clock/week conventions, and navigate faster on mobile.
- Sharing and artifacts: Stable shared links support personal copies; fullscreen previews, Mermaid export, PowerPoint templates, shell scripts, and original Office downloads expand file workflows.
- Web search: Keenable adds keyless search and page fetch, while SearXNG and Tavily gain richer controls and all web-tool egress uses stronger SSRF protection.
- Security and authentication: Default HTTP security headers, opt-in nonce CSP, authenticated local images, per-user Code Interpreter JWTs, stable SAML identity binding, live-session OpenID token refresh, and retired JWT-secret rejection harden deployments.
- Models and reasoning: Added GPT-5.6 with Responses reasoning controls, Claude Fable 5.1, Opus 5, and Sonnet 5, plus Gemini 3.8/3.7/3.6 Flash and Gemini 3.5 Flash-Lite.
- Langfuse observability: Configure encrypted in-app connections, tenant fanout, authenticated gateways, export-decision telemetry, and authorized session links in chats and shared views.
- Administration: Source-aware content filters can audit or block model-bound data, while tenant Insights, delegated configuration, encrypted secrets, and expiring violation scores improve operations.
- Streaming and reliability: Adaptive smoothing, Redis delta batching and failover recovery, automatic generation protocol v2, live MCP catalog refresh, Agent circuit breakers, and DocumentDB support improve long runs and scaled deployments.
Read the full v0.8.8-rc2 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.