Which is more popular, AgentLabs or Open WebUI?

Open WebUI has more GitHub stars (153,853 vs 558).

Which is more actively developed, AgentLabs or Open WebUI?

Open WebUI had more commits in the last 90 days (1,515 vs 0).

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

AgentLabs has had no commit in 20 months; Open WebUI is actively maintained (1,515 commits in the last 90 days).
Open WebUI is growing faster: +3,942 GitHub stars in the last 30 days vs +3 for AgentLabs.
Pick AgentLabs for: universal AI Agent Frontend. Pick Open WebUI for: user-friendly AI Interface (Supports Ollama, OpenAI API, ...).

From GitHub data refreshed daily.

AgentLabsopen-source

Universal AI Agent Frontend. Build your backend we handle the rest.

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

+Comprehensive frontend solution that includes authentication, chat UI, analytics, and payment processing out of the box
+Real-time bidirectional streaming SDKs for Python and TypeScript enable responsive agent interactions
+Open-source architecture with both self-hosting and managed cloud hosting options available

+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

-Project appears to be discontinued according to repository badges, raising concerns about long-term support
-Still in Alpha stage with limited features and potential instability
-Self-hosting documentation is incomplete, with recommendation to use cloud version instead

-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

•Rapidly deploying AI agents to public users without building custom frontend infrastructure
•Creating multi-agent chat applications with built-in user authentication and session management
•Launching commercial AI agent services with integrated analytics and payment processing capabilities

•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, AgentLabs or Open WebUI?: Open WebUI has more GitHub stars (153,853 vs 558).
Which is more actively developed, AgentLabs or Open WebUI?: Open WebUI had more commits in the last 90 days (1,515 vs 0).
Should I use AgentLabs or Open WebUI?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.