Awesome AI Agents › AI Agent Orchestration

strnad/CrewAI-Studio

⭐ 1368 Python repository created 2024-05-30

CrewAI Studio is a user-friendly, multi-platform graphical user interface designed to manage and run CrewAI agents and tasks without requiring any coding skills. It is built using Streamlit, making it accessible for users on Windows, Linux, and MacOS. The application supports both Conda and Python virtual environments for installation, providing flexibility in setup. CrewAI Studio offers a range of features including the ability to view results history, add knowledge sources for crews, and utilize CrewAI tools to interact with the real world. It supports multiple large language model (LLM) providers such as OpenAI, Groq, Anthropic, Ollama, Grok, and LM Studio, with some tools requiring an OpenAI key for embeddings. Users can export their crews as simple single-page Streamlit applications and run crews in the background with the option to stop them as needed. The project also includes custom tools for API calls, file writing, enhanced code interpretation, and web scraping, with plans to add more tools in the future. Installation can be done via virtual environments or Conda, with detailed instructions for Linux, MacOS, and Windows. Additionally, the project supports deployment through Docker Compose for quick setup. CrewAI Studio aims to simplify the orchestration and management of AI agents, making it accessible to users without programming expertise. The project encourages community support through donations and GitHub sponsorships, and provides troubleshooting guidance and a video tutorial for ease of use.

https://github.com/strnad/CrewAI-Studio

agentsaiai-agentsanthropicapi-callscode-interpretercondacrewaicrewai-studiocrewai-toolscrewaiguicrewaiuicustom-toolsdocker-composegrokgroqguiinstallationknowledge-sourcesllm-providerslm-studiomulti-platformno-codeno-codingollamaopenairesults-historysingle-page-app-exportstreamlittask-managementthreaded-crew-runuser-friendlyvirtual-environmentweb-scraper

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