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both.",6,{"tool_id":132,"name":133,"slug":134,"tooltip_description":135,"logo_url":136,"logo_bg":31,"pricing_model":137,"learning_curve_score":49,"popularity_score":49,"hosting_assignment_type":37,"hosting_provider_restriction":38,"hosting_target_restriction":38,"hosting_compatible_tool_ids":14,"parent_tool_id":14,"category":141,"subcategory":142,"categories":146,"subcategories":147,"flexibility_score":49,"performance_score":63,"portability_score":49,"is_featured":50,"tags":148,"score_reasonings":149,"published_date":14,"last_updated_date":14},219,"Open WebUI","open-webui","The most widely deployed self-hosted chat UI (149K+ GitHub stars), a feature-rich frontend for Ollama or any OpenAI-compatible API with RAG, RBAC, and enterprise auth — doesn't serve inference itself, just the interface to talk to whatever does.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fopen-webui.png",{"slug":138,"display_name":139,"description":140},"open_source","Open Source","Source code 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Its organizing unit is the workspace: each one gets its own ingested documents, vector database settings, and retrieval parameters, so a team can keep several isolated knowledge bases (one per project or client, say) in a single deployment without documents bleeding across them.\n\nBackend choice is broad. It supports **25+ LLM providers**, including OpenAI, Anthropic, Ollama, LocalAI, DeepSeek, Mistral, and Groq, and several vector databases: LanceDB by default, or Pinecone, Qdrant, Weaviate, Chroma, PGVector, and Astra DB. Beyond chat, a built-in agent framework handles web browsing and tool use, with a no-code agent builder, MCP compatibility, and automatic and user-managed memory.\n\nAnythingLLM runs three ways: as a free **desktop app** for Mac, Windows, and Linux that needs no Docker or terminal, as a self-hosted Docker deployment for multi-user teams (with one-click templates for AWS, GCP, DigitalOcean, Render, and Railway), or as a hosted cloud instance managed by Mintplex Labs. The open-source edition is MIT licensed with no feature gating.","Own your intelligence.",[214,215,216,217,218,219,220],"Per-workspace documents, vector DB settings, and retrieval parameters","25+ LLM providers (OpenAI, Anthropic, Ollama, LocalAI, DeepSeek, Mistral, Groq, and more)","Vector databases: LanceDB (default), Pinecone, Qdrant, Weaviate, Chroma, PGVector, Astra DB","Built-in agent framework with web browsing, no-code agent builder, and MCP compatibility","Native desktop apps for Mac, Windows, and Linux, with no Docker required","Automatic and user-managed memory","MIT licensed and free to self-host with no feature gating",[222,223,224,225,226],"RAG-first design with real per-workspace isolation, where many chat UIs treat document Q&A as an add-on","Desktop app is the easiest way in the self-hosted chat UI field to start without Docker or a terminal","MIT licensed with no feature gating, branding requirement, or user-count threshold, unlike Open WebUI","Widest vector database choice among self-hosted chat UIs, plus 25+ LLM providers","Agent framework and MCP support go beyond chat into task automation",[228,229,230,231],"Multi-user RBAC and team administration are less mature than Open WebUI's","Smaller community and fewer third-party plugins than Open WebUI","Many backend options add configuration surface for someone who just wants a simple default","Hosted cloud pricing is not published",{},[],[235,237],{"tier_name":6,"price":7,"billing_period":8,"features":236},[10,11],{"tier_name":13,"price":14,"billing_period":8,"features":238},[16,17,18],[],[],1790518485182]