LobeHub vs AnythingLLM
Two of the top projects in Chat UIs, side by side: who leads on each score part and who each one suits, then setup, license, activity and what each review found.
LobeHub
Agent workspace with builder, groups, scheduling and 10,000+ MCP skills
AnythingLLM
Document chat app with agents, workspaces and many LLM and vector DB backends
Verdict
LobeHub ranks higher, 86 to 83. Of the 4 score parts we measure for both, LobeHub leads on 2, AnythingLLM on 1 and 1 is even.
- AdoptionLobeHub leads by 6 points, 90 to 84.
- FreshnessEven at 100.
- MaintenanceAnythingLLM leads by 11 points, 94 to 83.
- Agent-readyLobeHub leads by 45 points, 45 to 0: a wide gap.
Pick LobeHub if you are
Teams wanting a multi-agent workspace with an app-like UI
- One-click deploy buttons for Vercel, Zeabur, Sealos, RepoCloud and Alibaba Cloud
- 10,000+ tools and MCP-compatible plugins for agents
Pick AnythingLLM if you are
Self-hosters and teams wanting private document chat with agents over any LLM
- Supports roughly 40 LLM providers and 9 vector databases, with LanceDB as the zero-setup default
- Built-in embedder and audio transcription, so a local setup needs no external services
| What we compare | LobeHub | AnythingLLM |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 90, widely used | 84, widely used |
| Freshness | 100, active | 100, active |
| Maintenance | 83, healthy | 94, healthy |
| Agent-ready | 45, minimal | 0, none |
| Facts from GitHub and the README | ||
| Stars | 83.5k | 67.5k |
| License | custom license (read the license) | MIT (permissive) |
| Last commit | Oct 2026 | Oct 2026 |
| Last release | Oct 2026 | Oct 2026 |
| Language | TypeScript | JavaScript |
| Docker | Yes | Yes |
| GPU | Not needed | Optional |
| arm64 or Apple Silicon | Mentioned | Mentioned |
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 ingests PDFs, DOCX and TXT files into workspaces and answers questions over them with source citations. It connects to local or hosted LLMs (llama.cpp-compatible models, Ollama, LM Studio, OpenAI, Anthropic, Bedrock and many more) and stores vectors in LanceDB by default or PGVector, Qdrant, Weaviate, Milvus and others. It also includes a no-code agent builder, MCP support, scheduled tasks, and a desktop app plus a Docker server version.
Who it is for: Self-hosters and teams wanting private document chat with agents over any LLM
Strengths
- Supports roughly 40 LLM providers and 9 vector databases, with LanceDB as the zero-setup default
- Built-in embedder and audio transcription, so a local setup needs no external services
- Includes no-code agent builder, MCP compatibility and cron-scheduled agent tasks
- Available as a desktop app for Mac, Windows and Linux, and as a Docker server
Weaknesses
- Multi-user permissions and the embeddable chat widget are Docker version only
- Telemetry is on by default; opt out via DISABLE_TELEMETRY or in-app
- Still makes outbound calls to cdn.anythingllm.com and GitHub with telemetry disabled
- Browser-native STT is the only speech-to-text option listed
- GPU optional
- Docker + Compose
- Needs LLM provider (local or API), Docker (for server version)
- Models: llama.cpp-compatible models, Ollama, LM Studio, OpenAI, Anthropic
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