Cherry Studio vs Open WebUI
Side-by-side comparison of two AI agent tools
Short answer
- Open WebUI is growing faster: +3,942 GitHub stars in the last 30 days vs +1,569 for Cherry Studio.
- Pick Cherry Studio for: aI productivity studio with smart chat, autonomous agents, and 300+ assistants. Pick Open WebUI for: user-friendly AI Interface (Supports Ollama, OpenAI API, ...).
From GitHub data refreshed daily.
Cherry Studiofree
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
Open WebUIfree
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Metrics
| Cherry Studio | Open WebUI | |
|---|---|---|
| Stars | 52.3k | 153.8k |
| Star velocity /mo | 1.6k | 3.9k |
| Commits (90d) | 2.1k | 1.5k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.9056132900724824 | 0.8872949737970779 |
Pros
- +Unified interface for multiple frontier LLMs and AI models
- +Extensive collection of 300+ pre-built AI assistants
- +Strong community support with over 42,000 GitHub stars
- +Multi-provider AI integration supporting both local Ollama models and remote OpenAI-compatible APIs in a single interface
- +Self-hosted deployment with complete offline capability ensuring data privacy and security control
- +Enterprise-grade user management with granular permissions, user groups, and admin controls for organizational deployment
Cons
- -Desktop application may require installation and system compatibility
- -Autonomous agent functionality scope and limitations unclear
- -Requires technical expertise for initial setup and maintenance of Docker/Kubernetes infrastructure
- -Self-hosting demands dedicated server resources and ongoing system administration
- -Limited to local deployment model, lacking the convenience of managed cloud AI services
Use Cases
- •Centralized AI workspace for accessing multiple LLM providers
- •Automated task execution using autonomous agents
- •Multi-language AI assistance and productivity workflows
- •Enterprise organizations deploying private AI assistants with strict data governance and user access controls
- •Development teams building local AI workflows with multiple model providers while maintaining code and data privacy
- •Educational institutions providing students and faculty with controlled AI access without external data sharing
FAQ
- Which is more popular, Cherry Studio or Open WebUI?
- Open WebUI has more GitHub stars (153,800 vs 52,321).
- Which is more actively developed, Cherry Studio or Open WebUI?
- Cherry Studio had more commits in the last 90 days (2,066 vs 1,515).
- Should I use Cherry Studio or Open WebUI?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.