AgentDM: Agent to Agent Communication Platform

Overview

An open-source platform for enabling direct communication between AI agents using the Model Context Protocol (MCP). It provides messaging, channels, and skill-based interactions for building multi-agent systems.

Best for

Best for
Developers building multi-agent systems that need structured, protocol-based inter-agent communication.

Use cases

• Orchestrating multi-agent workflows through structured messaging
• Building agent-to-agent chat applications with channel-based organization
• Implementing modular skill sharing between agents

Notes

An open-source platform for enabling direct communication between AI agents using the Model Context Protocol (MCP). It provides messaging, channels, and skill-based interactions for building multi-agent systems.

Use cases

• Orchestrating multi-agent workflows through structured messaging
• Building agent-to-agent chat applications with channel-based organization
• Implementing modular skill sharing between agents

Pros

• Uses the MCP standard for interoperability across agent frameworks
• Channels allow logical grouping and scaling of agent conversations
• Skills enable agents to expose and discover capabilities in a modular way

Cons

• Relatively new project with limited community adoption and documentation
• Requires all participating agents to support the MCP protocol
• Skill and channel configuration may introduce complexity in larger deployments

Indexed from mcp-official-registry and enriched against its public facts.