ARES AutoGPT Pro: A Multi-Agent Autonomous Intelligence System for Planning, Research, Web Navigation, and AI-Assisted Software Development Using Local Large Language Models
ARES AutoGPT Pro: A Multi-Agent Autonomous Intelligence System for Planning, Research, Web Navigation, and AI-Assisted Software Development Using Local Large Language Models
Tarani 1, Kanimerakala Harsha Vardhan2
1 Assistant Professor
2 MCA Final Semester, Master of Computer Applications, Sanketika Vidya Parishad Engineering College, Vishakhapatnam,
Andhra Pradesh, India
---------------------------------------------------------------------***---------------------------------------------------------------------
ABSTRACT
The rapid advancement of Artificial Intelligence has enabled the development of autonomous systems capable of performing complex tasks such as planning, research, web exploration, and software development. However, many existing AI assistants are limited by cloud dependency, single-task execution, and restricted automation capabilities. To address these challenges, this paper presents ARES AutoGPT Pro, a multi-agent autonomous reasoning and execution system that integrates four specialized agents: Planner Agent, Research Agent, Browser Agent, and Coder Agent. These agents collaborate simultaneously to analyze user requests, retrieve real-time information, perform intelligent planning, and generate software solutions. The system is developed using FastAPI as the backend framework, React.js for the frontend interface, DuckDuckGo Search (DDGS) for web information retrieval, and Ollama-powered local Large Language Models for reasoning and code generation. Through coordinated multi-agent execution, ARES delivers accurate, context-aware, and comprehensive responses while improving efficiency and response quality. Its modular architecture supports scalability, local deployment, enhanced privacy, and future integration of advanced autonomous capabilities, making it a robust platform for next-generation intelligent AI assistants and automation systems.
Keywords: Multi-Agent AI, Autonomous Agents, Large Language Models, Ollama, FastAPI, React.js, Task Planning, Information Retrieval, Browser Agent, Code Generation, Agent Orchestration, Autonomous Reasoning, Artificial Intelligence, NLP, Software Development Automation.