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Agentcloud is a Python and Next.js-based project featuring an autogen-enabled agent backend and a webapp with a custom server. It streamlines team formation and task execution workflows using docker-compose for easy setup.

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agentcloud

https://www.agentcloud.dev/

Welcome to agentcloud repository! This project comprises two main components:

  1. Agent Backend: A Python application running autogen, communicating through socket.io.
  2. Webapp: A UI built using next.js, tailwind, and an express custom server.

Getting Started

To run this project up locally, you'll need docker-compose. Follow the steps below to get started:

  1. Environment Variables: Before starting the services, ensure you fill out any necessary environment variables in the docker-compose.yml file.
  1. Start Services: Simply run the following command:

Mac & Linux:

SHORT_COMMIT_HASH=$(git rev-parse --short HEAD) docker-compose up --build

Windows:

$SHORT_COMMIT_HASH = $(git rev-parse --short HEAD)
docker-compose up

This will start both the agent backend and the webapp.

Current Workflow

  1. A task is passed to the team-generation team
  2. Based on the task, the team-generation team creates the ideal team to undertake the task (so, we are utilising Autogen to formulate the team)
  3. The user can give feedback to Autogen to augment the team if they wish
  4. Once the user is happy with the team, they type exit (it's a bit unintuitive, we know; we're working on changing it), which ends the team generation step and immediately initiates task-execution using the newly formulated team, the task is then undertaken using standard Autogen workflow

License

This project is licensed under the Apache License, Version 2.0.

Contributions & Feedback

If you wish to contribute or provide feedback, please follow the contribution guidelines in CONTRIBUTING.md.

Thank you for exploring agentcloud!

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Agentcloud is a Python and Next.js-based project featuring an autogen-enabled agent backend and a webapp with a custom server. It streamlines team formation and task execution workflows using docker-compose for easy setup.

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