LobeHub vs AnythingLLM
Two of the top chat uis, side by side: score, setup, license, activity and what each review found.
LobeHub
Agent workspace with builder, groups, scheduling and 10,000+ MCP skills
AnythingLLM
Document chat and agent app with built-in RAG, MCP and multi-user support
| What we compare | LobeHub | AnythingLLM |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 86, widely used | 81, widely used |
| Freshness | 100, active | 100, active |
| Maintenance | 83, healthy | 93, healthy |
| Easy to run | 67, easy | 67, easy |
| Agent-ready | 45, minimal | 0, none |
| Facts from GitHub and the README | ||
| Stars | 83.1k | 66.9k |
| License | custom license (read the license) | MIT (permissive) |
| Last commit | Oct 2026 | Oct 2026 |
| Last release | Oct 2026 | Oct 2026 |
| Language | Not stated | Not stated |
| Docker | Yes | Yes |
| GPU | Not needed | Not needed |
| arm64 or Apple Silicon | Not stated | Not stated |
LobeHub
LobeHub is a self-hostable agent workspace that runs on Vercel, Zeabur, Sealos, Alibaba Cloud or Docker Compose. It centres on an Agent Builder, Agent Groups that work a task in parallel, Pages for co-writing, scheduled runs, projects and shared workspaces, plus structured editable memory and an IM gateway, with 10,000+ tools and MCP-compatible plugins. An OpenAI API key is required to start.
Who it is for: Teams wanting a multi-agent workspace with an app-like UI
Strengths
- One-click deploy buttons for Vercel, Zeabur, Sealos, RepoCloud and Alibaba Cloud
- 10,000+ tools and MCP-compatible plugins for agents
- Agent Groups, scheduled runs, projects and team workspaces
- Memory is structured and editable rather than a hidden store
Weaknesses
- OPENAI_API_KEY is a required environment variable
- Docker setup runs a curl-piped script from lobe.li before docker compose up
- README recommends a third-party API reseller through an affiliate link
- README states no ports, databases or hardware requirements
- no GPU
- Docker + Compose
- Models: OpenAI, OpenAI-compatible proxy
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