Developing JARVIS: Multi-Agent AI System for Task AutomationDeveloping JARVIS: Multi-Agent AI System for Task Automation
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Maurício Júnior
• Apr 14
🚀 Building JARVIS — A Multi-Agent AI System
Currently developing JARVIS, an advanced AI system designed around a multi-agent architecture capable of planning tasks, learning from the internet, and coordinating specialized AI agents.
The goal is to build a powerful personal AI platform that can operate similarly to enterprise-level AI systems.
Core capabilities being developed:
• Multi-agent orchestration system • Autonomous task planning and execution • Web learning and knowledge acquisition • Persistent memory with knowledge storage • AI-assisted coding and research • Automation of complex workflows
Tech stack currently powering the system:
Python • Multi-Agent Architecture • Local LLMs • AI Orchestration • Automation Systems • Vector Memory
JARVIS is designed to run locally with optimized models while maintaining the flexibility to integrate with external APIs and tools.
This project is part of my exploration into building next-generation AI assistants and autonomous systems.
The long-term vision is to evolve JARVIS into a powerful AI platform capable of assisting with development, research, and intelligent automation at scale.
More updates coming soon as the system evolves.
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