{"repo":"Mintplex-Labs/anything-llm","free":true,"listed":false,"github":"https://github.com/Mintplex-Labs/anything-llm","clone":"git clone https://github.com/Mintplex-Labs/anything-llm.git","description":"Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience ","language":"JavaScript","stars":64777,"topics":["agent-computer","agent-harness","agent-orchestration","agentic-ai","ai-agents","computer-use","hermes-agent","llm","local-ai","localai","multimodal","no-code","open-claw","rag","self-hosted-ai","vector-database"],"license":"MIT","category":"saas_starter","readme_excerpt":"\n\n> [!NOTE]\n> We are also working on [Open Computer](/open-computer) which gives an entire computer environment for AI Agents to use.\n>\n> This will bring AnythingLLM's agent capabilities to a new level and a novel UX paradigm for AI Agent use.\n>\n> ⭐ Star the repo to stay updated!\n\n

\n \"AnythingLLM\n

\n\n
\n\"Mintplex-Labs%2Fanything-llm\n
\n\n

\n AnythingLLM: The all-in-one AI app you were looking for.
\n Chat with your docs, use AI Agents, hyper-configurable, multi-user, & no frustrating setup required.\n

\n\n

\n \n \"Discord\"\n |\n \n \"License\"\n |\n \n Docs\n |\n \n Hosted Instance\n \n

\n\n

\n English · 简体中文 · 日本語\n

\n\n

\n👉 AnythingLLM for desktop (Mac, Windows, & Linux)! Download Now\n

\n\nChat with your docs. Automate complex workflows with AI Agents. Hyper-configurable, multi-user ready, battle-tested—and runs locally by default with zero setup friction.\n\n![Chatting](https://github.com/Mintplex-Labs/anything-llm/releases/download/v1.11.2/AnythingLLM720p.gif)\n\n
\nWatch the demo!\n\n[![Watch the video](/images/youtube.png)](https://youtu.be/f95rGD9trL0)\n\n
\n\n### Product Overview\n\nAnythingLLM is the all-in-one AI application that lets you build a private, fully-featured ChatGPT—without compromises. Connect your favorite local or cloud LLM, ingest your documents, and start chatting in minutes. Out of the box you get built-in agents, multi-user support, vector databases, and document pipelines — no extra configuration required.\n\nAnythingLLM supports multiple users as well where you can control the access and experience per user without compromising the security or privacy of the instance or your intellectual property.\n\n## Cool Features of AnythingLLM\n\n- [Dynamic Model Routing](https://docs.anythingllm.com/model-router/overview) - Automatically route chats to the best provider & model for the conversation based on rules you define.\n- [Automatic & User Managed Memories](https://docs.anythingllm.com/features/memories) - Have your LLM remember important information about you or your workspace.\n- [Scheduled Tasks](https://docs.anythingllm.com/scheduled-jobs/overview) - Run recurring tasks or prompts on a cron schedule with full agent capabilities.\n- [Intelligent Skill Selection](https://docs.anythingllm.com/agent/intelligent-tool-selection) Enable **unlimited** tools for your models while reducing token usage by up to 80% per query\n- [No-code AI Agent builder](https://docs.anythingllm.com/agent-flows/overview)\n- [MCP-compatibility](https://docs.anythingllm.com/mcp-compatibility/overview)\n- [Multi-modal support (both closed and open-source LLMs!)](https://docs.anythingllm.com/features/multimodal)\n- [Custom AI Agents](https://docs.anythingllm.com/agent/custom/introduction)\n- 👤 Multi-user instance support and permissioning _Docker version only_\n- 🦾 Agents inside your workspace (browse the web, etc)\n- 💬 [Custom Embeddable Chat widget for your website](https://github.com/Mintplex-Labs/anythingllm-embed/blob/main/README.md) _Docker version only_\n- 📖 Multiple document type support (PDF, TXT, DOCX, etc)\n- Intuitive chat UI with drag-and-drop uploads and source citations.\n- Production-ready for any cloud deployment.\n- Works with all popular [closed and open-source LLM providers](#supported-llms-embedder-models-speech-models-and-vector-databases).\n- Built-in optimizations for large document sets—lower costs and faster responses than other chat UIs.\n- Full Developer API for custom integrations!\n- ...and much more—install in minutes and see for yourself.\n\n### Supported LLMs, Embedder Models, Speech models, and Vector Databases\n\n**Large Language Models (LLMs):**\n\n- [Any open-source llama.cpp compatible model](/server/storage/models/README.md#text-generation-llm-selection)\n- [OpenAI](https://openai.com)\n- [OpenAI (Generic)](https://openai.com)\n- [Azure OpenAI](https://azure.microsoft.com/en-us/products/ai-services/openai-service)\n- [AWS Bedrock](https://aws.amazon.com/bedrock/)\n- [Anthropic](https://www.anthropic.com/)\n- [NVIDIA NIM (chat models)](https://build.nvidia.com/explore/discover)\n- [Google Gemini Pro](https://ai.google.dev/)\n- [Ollama (chat models)](https://ollama.ai/)\n- [LM Studio (all models)](https://lmstudio.ai)\n- [LocalAI (all models)](https://localai.io/)\n- [Together AI (chat models)](https://www.together.ai/)\n- [Fireworks AI (chat models)](https://fireworks.ai/)\n- [Perplexity (chat models)](https://www.perplexity.ai/)\n- [OpenRouter (chat models)](https://openrouter.ai/)\n- [DeepSeek (chat models)](https://deepseek.com/)\n- [Mistral](https://mistral.ai/)\n- [Groq](https://groq.com/)\n- [Cohere](https://cohere.com/)\n- [KoboldCPP](https://github.com/LostRuins/koboldcpp)\n- [LiteLLM](https://github.com/BerriAI/litellm)\n- [Text Generation Web UI](https://github.com/oobabooga/text-generation-webui)\n- [Apipie](https://apipie.ai/)\n- [xAI](https://x.ai/)\n- [Z.AI (chat models)](https://z.ai/model-api)\n- [Novita AI (chat models)](https://novita.ai/model-api/product/llm-api?utm_source=github_anything-llm&utm_medium=github_readme&utm_campaign=link)\n- [PPIO](https://ppinfra.com?utm_source=github_anything-llm)\n- [Gitee AI](https://ai.gitee.com/)\n- [Moonshot AI](https://www.moonshot.ai/)\n- [Microsoft Foundry Local](https://github.com/microsoft/Foundry-Local)\n- [CometAPI (chat models)](https://api.cometapi.com/)\n- [Docker Model Runner](https://docs.docker.com/ai/model-runner/)\n- [PrivateModeAI (chat models)](https://privatemode.ai/)\n- [SambaNova Cloud (chat models)](https://cloud.sambanova.ai/)\n- [Lemonade by AMD](https://lemonade-server.ai)\n- [Minimax](https://platform.minimax.io)\n- [Cerebras (chat models)](https://www.cerebras.ai/)\n- [oMLX](https://github.com/jundot/omlx)\n\n**Embedder models:**\n\n- [AnythingLLM Native Embedder](/server/storage/models/README.md) (default)\n- [OpenAI](https://openai.com)\n- [Azure OpenAI](https://azure.microsoft.com/en-us/products/ai-services/openai-service)\n- [Gemini](https://ai.google.dev/)\n- [LocalAI (all)](https://localai.io/)\n- [Ollama (all)](https://ollama.ai/)\n- [LM Studio (all)](https://lmstudio.ai)\n- [Lemonade](https://lemonade-server.ai)\n- [OpenRouter](https://openrouter.ai/)\n- [LiteLLM](https://github.com/BerriAI/litellm)\n- [Cohere](https://cohere.com/)\n- [Voyage AI](https://www.voyageai.com/)\n- [Mistral](https://mistral.ai/)\n- Generic OpenAI-compatible embedding APIs\n\n**Audio Transcription models:**\n\n- [AnythingLLM Built-in](https://github.com/Mintplex-Labs/anything-llm/tree/master/server/storage/models#audiovideo-transcription) (default)\n- [OpenAI](https://openai.com/)\n\n**TTS (text-to-speech) support:**\n\n- Native Browser Built-in (default)\n- [PiperTTSLocal - runs in browser](https://github.com/rhasspy/piper)\n- [OpenAI TTS](https://platform.openai.com/docs/guides/text-to-speech/voice-options)\n- [ElevenLabs](https://elevenlabs.io/)\n- Any OpenAI Compatible TTS service.\n\n**STT (speech-to-text) support:**\n\n- Native Browser Built-in (default)\n\n**Vector Databases:**\n\n- 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