Overview:

AgentCloud is a project consisting of an agent backend, a web application, and a vector proxy component. The backend is a Python application using crewai and socket.io for LLM message communication. The web app is built with next.js, tailwind, and an express custom server. The vector proxy component is a Rust application that interacts with the Qdrant vector Database.

Features:

• Agent Backend: Python application running crewai
• Webapp: UI built with next.js, tailwind, and express custom server
• Vector Proxy: Rust application for communication with Qdrant vector Database

Installation:

To run the AgentCloud project locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/rnadigital/agentcloud.git
   

2. Install Docker.
3. Start Services:
   • For Mac & Linux: Follow the prompts or provide command-line arguments as needed.
   • For Windows: (Coming soon…)

Summary:

AgentCloud is a project with three main components - an agent backend, a web application, and a vector proxy. The backend is a Python application using crewai, while the web app is built with next.js, tailwind, and an express custom server. Additionally, there is a Rust application for communication with the Qdrant vector Database. The project provides documentation, tutorials, and comparisons to other solutions along with ways for the community to contribute and provide feedback.