LobeHub vs Open WebUI

Two of the top chat uis, side by side: score, setup, license, activity and what each review found.

11st of 13 in Chat UIs

LobeHub

Agent workspace with builder, groups, scheduling and 10,000+ MCP skills

80 out of 100
33rd of 13 in Chat UIs

Open WebUI

Self-hosted chat UI for Ollama and OpenAI-compatible APIs with RBAC and RAG

76 out of 100
LobeHub vs Open WebUI: score parts and facts
What we compareLobeHubOpen WebUI
Score parts, out of 100
Adoption86, widely used97, widely used
Freshness100, active100, active
Maintenance83, healthy97, healthy
Easy to run67, easy50, easy
Agent-ready45, minimal0, none
Facts from GitHub and the README
Stars83.1k154.3k
Licensecustom license (read the license)custom license (read the license)
Last commitOct 2026Oct 2026
Last releaseOct 2026Oct 2026
LanguageNot statedNot stated
DockerYesYes
GPUNot neededOptional
arm64 or Apple SiliconNot statedNot 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

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

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