AnythingLLM vs Open WebUI
Two of the top chat uis, side by side: score, setup, license, activity and what each review found.
AnythingLLM
Document chat and agent app with built-in RAG, MCP and multi-user support
Open WebUI
Self-hosted chat UI for Ollama and OpenAI-compatible APIs with RBAC and RAG
| What we compare | AnythingLLM | Open WebUI |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 81, widely used | 97, widely used |
| Freshness | 100, active | 100, active |
| Maintenance | 93, healthy | 97, healthy |
| Easy to run | 67, easy | 50, easy |
| Agent-ready | 0, none | 0, none |
| Facts from GitHub and the README | ||
| Stars | 66.9k | 154.3k |
| License | MIT (permissive) | custom license (read the license) |
| Last commit | Oct 2026 | Oct 2026 |
| Last release | Oct 2026 | Oct 2026 |
| Language | Not stated | Not stated |
| Docker | Yes | Yes |
| GPU | Not needed | Optional |
| arm64 or Apple Silicon | Not stated | Not stated |
AnythingLLM
AnythingLLM is a Node.js app that ingests PDF, TXT, DOCX and other files into a workspace and chats over them with any of 40+ LLM providers, from llama.cpp, Ollama and LM Studio to OpenAI, Anthropic, Bedrock and Gemini. It ships a native embedder, LanceDB by default plus 8 other vector stores, a no-code agent builder, MCP support, scheduled tasks, model routing and a developer API.
Who it is for: Small teams and individuals wanting private document chat without extra services
Strengths
- LanceDB embedded by default; PGVector, Qdrant, Milvus, Chroma, Weaviate, Pinecone optional
- Native embedder and audio transcription run locally with no extra service
- Multi-user instance with per-user permissions in the Docker build
- Embeddable website chat widget and a full developer API
Weaknesses
- Anonymous telemetry to PostHog is on by default; opt out with DISABLE_TELEMETRY=true
- Multi-user support and the embed widget are Docker-only, not in the desktop app
- Speech-to-text is limited to the browser built-in engine
- No root Dockerfile; container build lives under docker/
- no GPU
- Docker + Compose
- Models: llama.cpp-compatible models, OpenAI, Azure OpenAI, AWS Bedrock, Anthropic
Open WebUI
Open WebUI is a Python-served web interface (pip or Docker, port 8080) for Ollama and any OpenAI-compatible API such as LM Studio, vLLM, OpenRouter or Groq. It bundles RAG over 9 vector databases with hybrid BM25 search, web search through 20+ providers, image generation via ComfyUI, AUTOMATIC1111, DALL-E or Gemini, MCP and OpenAPI tool servers, and per-user roles with LDAP, OAuth and SCIM provisioning.
Who it is for: Teams and homelabs wanting a multi-user front end for local models
Strengths
- Images tagged :ollama and :cuda bundle Ollama or CUDA acceleration in one container
- RBAC, user groups, LDAP/AD, OAuth SSO and SCIM 2.0 provisioning built in
- 9 vector databases incl. ChromaDB, PGVector, Qdrant, Milvus and Elasticsearch
- Redis-backed sessions and WebSockets for multi-worker, multi-node deployments
Weaknesses
- Custom Open WebUI License requires keeping the Open WebUI branding visible
- Enterprise plan pitched at the top of the README; Terminals isolation is enterprise-only
- pip install is pinned to Python 3.11
- Data is lost unless the /app/backend/data volume is mounted
- GPU optional
- Docker + Compose
- Models: Ollama, OpenAI-compatible APIs, LM Studio, vLLM, OpenRouter
- port 8080