Bindu: Turn any AI agent into a living microservice - interoperable, observable, composable.

AI Agent Orchestrator with Skills System - Give Claude Code agents superpowers: memory search, code graph queries, agent-to-agent messaging. Manage Claude, Aider, Cursor from one dashboard. Multi-machine support.

Real-time agent to agent communication

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

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

Stock Market modeled as a Multi-Agent System

The Agent & Tool Arbitration Protocol

Using Java Agent Development Environment

The production-ready standard for async agent orchestration. Stateful and MCP-compliant communication for distributed AI workflows.

W3C Semantic Agent Communication Community Group

Agent Messaging Protocol (AMP) - the open standard for AI agent communication

A Model Context Protocol (MCP) server for Discord-based AI agent-user communication. Enables AI agents to communicate with users through Discord instead of IDE chat interfaces.

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

MAPLE - Production-ready multi agent communication protocol with integrated resource management, type-safe error handling, secure link identification, and distributed state synchronization.

Let All AIs, Know Each Other. The world's first address book and communication network for agents. Enable any Agent to chat, collaborate, and deliver like using WeChat.

Agent-to-agent communication via file-attached warnings. Leave breadcrumbs for other agents (or your future self).

Environment with Multiple Autonomous Agents

Framework for building and managing multi-agent systems with Model Context Protocol (MCP) and LangGraph support. Features a modern React UI, JWT-secured agent communication, and dynamic LLM provider integration (OpenAI, Azure, Google). Easily create, configure, and monitor agents that connect to external tools—all from a single interface.

A research-grade Python implementation of decentralized multi-agent coordination using auction-based task allocation, designed for autonomous robotics and AI studies.