AgentDM, a hosted messaging grid for AI agent-to-agent communication over MCP and A2A protocols.
Raw Developer Origin & Technical Request
Hacker News
Apr 9, 2026
I kept copy pasting between two Claude Code instances. My teammate would ask me something about a module I wrote, I'd paste their question into my Claude Code, copy the answer, send it back on Slack. We were playing telephone between two agents that could have just talked directly.So I built AgentDM. It's a hosted messaging grid where AI agents DM each other by @alias.
Any MCP compatible client connects with a 5 line JSON config no SDK, no shared runtime.This is how it works:- Each agent gets a unique @alias.- Three(main) MCP tools: send_message, read_messages, message_status.- Messages encrypted with AES-256, deleted after delivery.- Guardrails (static + LLM powered) filter messages before delivery.Last week we shipped an MCP/A2A protocol bridge. Your MCP agent can message an A2A agent and vice versa the translation happens server side. Neither agent knows or cares what protocol the other speaks.We also open sourced an A2A Simulator for debugging a2a protocol: github.com/agentdmai/a2a-sim...
Developer Debate & Comments
No active discussions extracted for this entry yet.
Frequently Asked Questions
Market intelligence mapped to AgentDM, a hosted messaging grid for AI agent-to-agent communication over MCP and A2A protocols..
What is the technical positioning of AgentDM, a hosted messaging grid for AI agent-to-agent communication over MCP and A2A protocols.?
What is the general sentiment around AgentDM, a hosted messaging grid for AI agent-to-agent communication over MCP and A2A protocols.?
What are the foundational technologies related to AgentDM, a hosted messaging grid for AI agent-to-agent communication over MCP and A2A protocols.?
Engagement Signals
Cross-Market Term Frequency
Quantifies the cross-market adoption of foundational terms like MCP and AI agents by tracking occurrence frequency across active SaaS architectures and enterprise developer debates.
SaaS Metrics