theagency's Introduction

Collaborative Multi-Agent Environment

This project aims to develop an environment that supports collaboration and problem-solving between intelligent software agents. The environment provides agents with a platform to interact, exchange information, coordinate actions, and work together towards complex objectives. You can view the full exchange here: https://chat.openai.com/share/7f4e6b21-7c6e-4efe-9a97-615831b3c059

Key Features

Flask REST API and event streaming for agent interaction
Scalable database (ChromaDB) for data storage
Lifecycle and validation models to ensure data integrity
Supports connecting local or remote agents to the environment
Enables agents to react dynamically based on environment events
Decoupled from specific agent architectures - can support diverse agent models

Getting Started

Installation

Clone the repo:

git clone https://github.com/DataBassGit/GenerativeAgent.git

Install dependencies:

pip install -r requirements.txt

Run the environment server:

python environment.py

Start agent services to connect to the local or remote environment

Key Libraries

Flask, Flask-SocketIO: used to build and handle the REST API and event streaming.
Cerberus: provides data validation.
ChromaDB: offers scalable database solutions for storing data.
Requests: helps with making HTTP requests to the API.

Roadmap

Continue enhancing environment functionality based on testing and feedback
Build tools and platforms to streamline development of agents for the environment
Explore options for scaling the environment to support more sophisticated agent interaction and swarm-level behavior
Investigate privacy-preserving and fair information exchange between agents
Release stable versions of the environment for community access and development

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