Which is more popular, Casibase or Open WebUI?

Open WebUI has more GitHub stars (153,800 vs 5,681).

Which is more actively developed, Casibase or Open WebUI?

Open WebUI had more commits in the last 90 days (1,515 vs 71).

Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.

Side-by-side comparison of two AI agent tools

Open WebUI is growing faster: +3,942 GitHub stars in the last 30 days vs +190 for Casibase.
Pick Casibase for: open-source AI knowledge base and MCP/A2A management platform with admin UI, user management, and SSO. Pick Open WebUI for: user-friendly AI Interface (Supports Ollama, OpenAI API, ...).

From GitHub data refreshed daily.

Casibaseopen-source

Open-source AI knowledge base and MCP/A2A management platform with admin UI, user management, and SSO

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

+Enterprise-grade features with admin UI, user management, and Single-Sign-On integration for large-scale organizational deployment
+Multi-model support spanning major AI providers (ChatGPT, Claude, Llama, Ollama, HuggingFace) allowing flexible AI strategy implementation
+Open-source architecture with Docker containerization enabling self-hosting, customization, and cost control for enterprises

+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

-Complex setup and configuration requirements typical of enterprise-level platforms may create barriers for smaller teams
-Limited documentation visibility and learning curve for organizations new to MCP and agent-to-agent coordination concepts

-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

•Enterprise AI knowledge base management where organizations need to centralize and coordinate multiple AI models and agents
•Large-scale AI agent orchestration in environments requiring MCP and agent-to-agent communication protocols
•Multi-tenant AI deployments where organizations need user management, SSO integration, and administrative control over AI access

•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

Which is more popular, Casibase or Open WebUI?: Open WebUI has more GitHub stars (153,800 vs 5,681).
Which is more actively developed, Casibase or Open WebUI?: Open WebUI had more commits in the last 90 days (1,515 vs 71).
Should I use Casibase or Open WebUI?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.