agentcloud

Introduction to AgentCloud

AgentCloud is an innovative open-source platform designed to empower companies to create and deploy private Large Language Model (LLM) chat applications, similar to ChatGPT. This tool allows teams to securely interact with their data, providing a layer of privacy and security for businesses keen on leveraging advanced AI technologies.

Main Components of AgentCloud

AgentCloud is composed of three main components:

1. Agent Backend: This is a Python application that utilizes crewai to communicate LLM messages via socket.io. It's the core engine powering the chat functionalities.

2. Webapp: The user interface (UI) is crafted using a combination of next.js, tailwind, and a custom express server. This component ensures the applications are user-friendly and accessible.

3. Vector Proxy: Built in Rust, this component communicates with the Qdrant vector database, ensuring efficient data processing and management.

Getting Started with AgentCloud

To get started with AgentCloud locally, there are a few straightforward steps you can follow:

1. Clone the Repository: Begin by cloning the project from GitHub using the command:

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

2. Install Docker: Docker is essential for running the services. You can find the installation instructions on Docker’s official website.

3. Start the Services:

   • For Mac and Linux users, use the following command:

     chmod +x install.sh && ./install.sh
     

   • Additional command-line options are available for developers to customize the startup process or integrate with Google Cloud Platform (GCP).

Tutorials and Comparison Guides

AgentCloud offers a variety of tutorials to help users create powerful chatbots:

• Building a RAG Chatbot Using Different Databases: Step-by-step guides are available for integrating PostgreSQL, BigQuery, MongoDB, and even Google Sheets with AgentCloud.

For those interested in comparing AgentCloud with other platforms, numerous comparison guides are available:

• Agent Cloud vs CrewAI
• Agent Cloud vs OpenAI
• Agent Cloud vs Qdrant
• Agent Cloud vs Google Cloud Agents

Documentation and Support

Detailed documentation is available to help users get started and explore advanced functionalities:

• AgentCloud Documentation offers insight into data sources, RAG examples, and more.

Public Roadmap and Licensing

AgentCloud's roadmap is publicly accessible, allowing users to stay informed about new features and developments. The project operates under the GNU Affero General Public License, version 3, ensuring open collaboration.

Contributions and Community Involvement

AgentCloud values community feedback and contributions. Interested individuals can contribute by following the guidelines provided in the project's repository. The development team encourages everyone to engage and help improve the platform.

If you find AgentCloud beneficial, consider supporting it by giving a star on GitHub. Your support is crucial for driving continuous innovation and feature development.