Open WebUI vs Kortix
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 +30 for Kortix.
- Pick Open WebUI for: user-friendly AI Interface (Supports Ollama, OpenAI API, ...). Pick Kortix for: the open-source AI Management System.
From GitHub data refreshed daily.
Open WebUIfree
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
K
Kortixopen-source
The open-source AI Management System
Metrics
| Open WebUI | Kortix | |
|---|---|---|
| Stars | 153.8k | 20.2k |
| Star velocity /mo | 3.9k | 30 |
| Commits (90d) | 1.5k | 8.3k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.8872949737970779 | 0.7431479549686046 |
Pros
- +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
- -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
- •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, Open WebUI or Kortix?
- Open WebUI has more GitHub stars (153,800 vs 20,240).
- Which is more actively developed, Open WebUI or Kortix?
- Kortix had more commits in the last 90 days (8,338 vs 1,515).
- Should I use Open WebUI or Kortix?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.