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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
397ddc5366
* 🧠 feat: Memory Agent Capability with Inline Tools and Ephemeral Badge
Add `AgentCapabilities.memory`, which expands into the inline set_memory/delete_memory tool pair (mirroring the execute_code expansion via registerMemoryTools) when a run-level memoryAvailable gate holds: capability enabled, memory configured, MEMORIES.USE permission, and personalization not opted out. Surfaces the memory artifact as an attachment in the agents tool-end callback.
Adds the ephemeral path (TEphemeralAgent.memory, load/added agent tool injection), a fully-gated memory badge plus tools-dropdown entry, the agent-builder Memory toggle with form round-trip, and a mock e2e test asserting the badge reaches the request payload. Additive to and independent of the existing post-turn memory extraction agent.
* 🩹 fix: Address Codex review on memory capability (gating, validKeys, usage guard)
- Strip the memory capability from the served agents capabilities when memory is not configured/enabled, so the badge, tools dropdown, agent-builder toggle, and backend capability gate stay consistent instead of exposing an inert toggle on default installs (where MEMORIES.USE defaults true).
- Surface configured memory.validKeys in the inline tool definitions so the model is told the allowed keys up front, matching the runtime createMemoryTool schema.
- Append a strict explicit-request usage guard to the agent instructions when inline memory tools are registered, preserving the memory-agent's privacy behavior.
- Add AppService tests covering memory-capability stripping.
* ✅ test: Update AppService capability snapshots for memory strip
AppService now strips the memory capability from the served agents defaults when no memory block is configured; update the spec's expected capability lists to defaultAgentCapabilitiesWithoutMemory for the no-memory-config cases.
* 🛡️ fix: Address Codex re-review on memory capability (round 2)
- Strip the memory capability from the FINAL served agents config, not just defaults; loadEndpoints reparses any endpoints.agents block, so memory was still exposed in that common shape (packages/data-schemas/src/app/service.ts) + regression test.
- Re-check the full memory gate (config, opt-out, MEMORIES.USE) inside handleTools before constructing set_memory/delete_memory, so an unsolicited tool call from a model/custom endpoint can't bypass the runtime gates (api/app/clients/tools/util/handleTools.js).
- Restore the persisted memory toggle for model-spec conversations via applyModelSpecEphemeralAgent (client/src/utils/endpoints.ts).
- Clear LAST_MEMORY_TOGGLE_ on logout and clear-all-chats so a stale memory preference can't leak across users on a shared browser (client/src/utils/localStorage.ts).
* 🧠 fix: Address Codex re-review on memory capability (round 3)
- Serialize set_memory writes and advance a running token total inside createMemoryTool, so parallel batched calls in one event-driven turn can't each pass the limit check against a stale total and collectively exceed memory.tokenLimit (packages/api/src/agents/memory.ts) + tests.
- Inject the keyed memory context (withKeys) instead of withoutKeys when the running agent has the inline memory capability, so delete_memory has a visible key to target (api/server/controllers/agents/client.js).
* 🔐 fix: Address Codex re-review on memory capability (round 4)
- Detect inline memory by tool NAME (set_memory/delete_memory) across an initialized agent's tools + toolDefinitions, since the 'memory' marker is expanded at init and the prior string check never matched; inject the keyed memory context for any primary OR sub-agent that carries the inline memory tools (api/server/controllers/agents/client.js).
- Enforce memory WRITE permissions in the inline tool gate: set_memory requires CREATE+UPDATE and delete_memory requires UPDATE (matching the REST memory routes), so a USE-only role can't mutate/delete memories via agent tool calls (api/app/clients/tools/util/handleTools.js).
* 🔒 fix: Address Codex re-review on memory capability (round 5)
- Gate inline memory registration (memoryAvailable) on the memory WRITE permissions (USE+CREATE+UPDATE), so a read-only-memory role no longer has set_memory/delete_memory shown to the model only for the runtime loader to refuse them (api/server/services/Endpoints/agents/initialize.js).
- Enforce the per-agent memory opt-in at execution: handleTools now refuses to construct set_memory/delete_memory unless the agent actually declared them (toolDefinitions/tools), blocking hallucinated/undeclared memory tool calls from mutating memory.
- Fail closed when getFormattedMemories errors with a configured tokenLimit, instead of writing as if storage were empty and bypassing the cap (api/app/clients/tools/util/handleTools.js).
* 🩹 fix: Address Codex re-review on memory capability (round 6)
- Fix a P1 regression from the prior round: the execution-context agent keeps the raw 'memory' capability marker (not the expanded set_memory/delete_memory names), so the opt-in check now matches the marker. This restores memory writes/deletes AND avoids hijacking an MCP tool that merely shares the set_memory/delete_memory name (api/app/clients/tools/util/handleTools.js).
- Count repeated set_memory writes to the same key as replacements, not additions, against tokenLimit — set_memory upserts, so a same-key rewrite swaps its prior token contribution instead of double-counting (packages/api/src/agents/memory.ts) + test.
- Gate the memory badge, tools dropdown, and agent-builder toggle on the full memory write permissions (USE+CREATE+UPDATE) via a shared useHasMemoryAccess hook, so a read-only-memory role no longer sees an enabled Memory control the backend would refuse to wire up.
* 🧷 fix: Address Codex re-review on memory capability (round 7)
- Recognize inline memory across both execution-context agent shapes: initializeAgent now sets a LibreChat-only memoryToolsRegistered flag on the InitializedAgent, and the opt-in/detection checks accept that flag OR the raw 'memory' marker. Fixes memory failing for processAddedConvo agents (which store the initialized config, marker already expanded) while staying MCP-name-collision-safe (api/app/clients/tools/util/handleTools.js, packages/api/src/agents/initialize.ts, api/server/controllers/agents/client.js).
- Scope keyed memory context to memory-enabled agents only: useMemory now returns both keyed and unkeyed contexts, and buildMessages injects the keyed one (memory keys + token metadata) only to agents that can call delete_memory, while the primary/post-turn path keeps the unkeyed values — so a primary without memory tools no longer sees memory keys it doesn't need.
* 🔏 fix: Address Codex re-review on memory capability (round 8)
- Enforce memory size limits on inline writes: createMemoryTool now rejects keys over 1000 chars and values over memory.charLimit, matching the REST memory routes, so an inline-memory agent can't persist blobs the memory UI/API would reject (packages/api/src/agents/memory.ts, api/app/clients/tools/util/handleTools.js) + test.
- Recheck the agents 'memory' endpoint capability at execution time, so a stale/hallucinated set_memory/delete_memory call can't mutate memory after an admin removes the capability while the agent document still carries the marker (api/app/clients/tools/util/handleTools.js).
* ♻️ refactor: Move inline-memory backend logic into packages/api + share memory load
Workspace boundary: the inline-memory gating/detection logic that had crept into /api now lives in packages/api/src/agents/memory.ts (TS), with /api kept as thin wrappers.
- Add agentHasInlineMemoryTools, isMemoryToolAllowed, and buildInlineMemoryTool to packages/api; handleTools.js now calls buildInlineMemoryTool instead of constructing/gating the tools inline, and client.js imports agentHasInlineMemoryTools instead of redefining it.
- Optimize repeated memory loads: getRequestMemories memoizes getFormattedMemories per request (WeakMap keyed by req), so the run's memory-context load and every memory-enabled agent's set_memory token-usage load share a single DB fetch instead of one per agent.
* 🧠 fix: Invalidate request memory cache after inline writes
Inline set_memory/delete_memory now invalidate the request-scoped
getFormattedMemories cache on a successful write, so a later tool round
in the same response is seeded with the post-write usage total instead
of the stale pre-write one (multi-round writes no longer collectively
exceed tokenLimit, and a set after a delete is not over-counted). The
within-round sharing across multiple memory-enabled agents is preserved.
* 🧠 fix: Persist memory capability on saved agents; honor registration flag
- Add Tools.memory to the v1 systemTools allowlist so filterAuthorizedTools
no longer silently drops the memory marker when an agent with the Memory
capability is created/updated/duplicated through the builder (previously
the capability only worked for ephemeral chats, not persisted agents).
- agentHasInlineMemoryTools now honors an explicit memoryToolsRegistered
boolean before falling back to the raw `memory` marker, so an initialized
config whose registration was denied (memoryAvailable false) is not given
keyed memory context just because the marker survives in tools.
* 🧩 fix: Bring memory tool to parity with other ephemeral tools
- Add `memory` to the model-spec schema/type and honor `modelSpec.memory`
in both ephemeral paths (load.ts, added.ts) and the frontend spec
application, so admins can pre-enable Memory from a model spec exactly
like webSearch/fileSearch/executeCode.
- Add LAST_MEMORY_TOGGLE_ to the timestamped-storage cleanup list so stale
per-conversation memory toggles are purged on startup like the others.
- Hide the agent-builder Memory toggle for users who disabled memory in
personalization (memories === false), mirroring the chat badge's opt-out
gate, so the setting isn't shown as inert/misleading.
* ✅ test: Cover memory in applyModelSpecEphemeralAgent spec defaults
Update the exact-object assertions to include the new `memory` field and
add positive coverage that `modelSpec.memory` maps to the ephemeral
agent's `memory` flag. Fixes the shard 2/4 failure from
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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
- 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 - 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 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
-
🎛️ 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.