A secure and open protocol for decentralized agent-to-agent communication. Built for speed, scale, extensibility and the AI-native internet. 🐧🚀✨

Experimental framework for multi-agent coordination and collaborative learning architectures. Research platform exploring agent-based learning systems, coordination protocols, and emergent behavior analysis. Progressive tutorials from reactive agents to AI-driven distributed systems.

Open Agent Communication Network - Fork of acn on fetchai/agents-aea

Stock Market modeled as a Multi-Agent System

Using Java Agent Development Environment

🐇 The 'RabbitHole' framework provides the tools for asynchronous A2A communication and task management. 📡🐇 ✨ Build powerful AI agents that communicate and collaborate.

A production-ready multi-agent system showcasing Agent Communication Protocol (ACP) and Model Context Protocol (MCP) capabilities through a collaborative research workflow.

Environment with Multiple Autonomous Agents

Core network infrastructure for agent communication

AI Agent Data Isolation System A universal framework to prevent data contamination in AI agent environments using vector databases. This system safeguards data integrity by detecting and filtering AI-generated content, applying session-based isolation, and preserving original data through configurable contamination detection patterns.

This framework enables secure, decentralized communication between AI agents using blockchain technology and smart contracts. It ensures the integrity, confidentiality, and verifiability of interactions through cryptographic identities, end-to-end encryption, and immutable audit trails.