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rnadigital / repository
agentcloud
Agent Cloud is like having your own GPT builder with a bunch extra goodies. The GUI features 1) RAG pipeline which can natively embed 260+ datasources 2) Create Conversational apps (like GPTs) 3) Create Multi Agent process automation apps (crewai) 4) Tools 5) Teams+user permissions. Get started fast with Docker and our install.sh
#ai#autogen#chatgpt#crewai#dockerized-application#genai
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README preview
AgentCloud
Introduction
Welcome to agentcloud. This project comprises three main components:
- Agent Backend: A Python application running crewai, communicating LLM messages through socket.io
- Webapp: A UI built using next.js, tailwind, and an express custom server.
- Vector Proxy: A Rust application which communicates with Qdrant vector Database
Getting Started.
To run this project locally, follow these steps:
- Clone the repository:
git clone https://github.com/rnadigital/agentcloud.git - Install Docker: Install Docker
- Start Services:
-
For Mac & Linux: Run the following command:
chmod +x install.sh && ./install.sh -
Follow the prompts or provide command-line arguments as needed.
-
~$ ./install.sh --help
Usage: ./install.sh [options]
Note: By default, vector-db-proxy `cargo build`'s without the `--release` flag, for faster builds during development.
To change this, set RELEASE=true` in your env before running install i.e `RELEASE=true ./install.sh ...`.
Options:
-h, --help Display this help message.
--kill-webapp-next Kill webapp after startup (for developers)
--kill-vector-db-proxy Kill vector-db-proxy after startup (for developers)
--kill-agent-backend Kill agent-backend after startup (for developers)
--project-id ID (OPTIONAL) Specify a GCP project ID (for Secret Manager, GCS, etc)
--service-account-json PATH (OPTIONAL) Specify the file path of your GCP service account json.
--gcs-bucket-name NAME (OPTIONAL) Specify the GCS bucket name to use.
--gcs-bucket-location LOCATION (OPTIONAL) Specify the GCS bucket location.