GUI for managing and running CrewAI agents and tasks
Top 39.5% on sourcepulse
CrewAI Studio offers a no-code, multi-platform graphical user interface for managing and executing CrewAI agents and tasks. It targets users who want to leverage AI agents without writing Python code, providing a streamlined experience for creating, running, and monitoring agent workflows.
How It Works
Built with Streamlit, the application provides a web-based interface for defining agents, tasks, and crews. It supports various LLM providers including OpenAI, Groq, Anthropic, Ollama, Grok, and LM Studio, with options for custom tools and knowledge sources. The architecture supports threaded crew runs for background execution and allows exporting crews as standalone Streamlit applications.
Quick Start & Requirements
http://localhost:8501
(when running locally or via Docker).Highlighted Details
Maintenance & Community
The project is actively maintained by the author, strnad. Community support and contributions are encouraged via GitHub issues.
Licensing & Compatibility
The project appears to be under a permissive license, though not explicitly stated in the README. Compatibility with commercial or closed-source projects is likely, but requires verification of the specific license.
Limitations & Caveats
The project notes that renaming crewai.db
might be necessary for compatibility with new versions. Some tools may still require an OpenAI key for embeddings, even when using other LLM providers.
1 month ago
1 day