LobeHub vs big-AGI
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
big-AGI
Multi-model chat workspace with Beam side-by-side model comparison
| What we compare | LobeHub | big-AGI |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 86, widely used | 27, niche |
| Freshness | 100, active | 100, active |
| Maintenance | 83, healthy | 70, fair |
| Easy to run | 67, easy | 83, very easy |
| Agent-ready | 45, minimal | 70, partly |
| Facts from GitHub and the README | ||
| Stars | 83.1k | 7.1k |
| License | custom license (read the license) | MIT (permissive) |
| Last commit | Oct 2026 | Oct 2026 |
| Last release | Oct 2026 | Aug 2026 |
| Language | Not stated | Not stated |
| Docker | Yes | Yes |
| GPU | Not needed | Not needed |
| arm64 or Apple Silicon | Not stated | 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
big-AGI
Big-AGI Open is the self-hostable web app behind big-agi.com, deployable via Docker or Vercel. It connects 20+ LLM services and 500+ models with your own API keys, and its Beam feature runs one prompt across several models and merges the answers. Personas, request inspection, web search with citations, image generation and multi-vendor speech are included; data stays local-first in the browser.
Who it is for: Power users comparing several models side by side with their own keys
Strengths
- Beam and Merge: fan one prompt out to several models and reconcile the results
- 20+ LLM services incl. Anthropic, OpenAI, Gemini, Ollama, LM Studio, LocalAI, Bedrock, Groq
- AI Inspector shows the exact requests sent to each provider
- MIT license; no usage charges, bring your own keys
Weaknesses
- Cross-device sync and 1 GB storage only on the hosted Pro tier at $10.99/month
- No SSO or shared team features in the open build; managed deployments by request
- README omits stack, ports and resource requirements; install guide lives in docs/
- README is mostly badges, taglines and release notes rather than specs
- no GPU
- Docker + Compose
- Models: Anthropic, OpenAI, Google Gemini, Ollama, LM Studio