nowfound

AI · April 9, 2026

AA

AgentDM – Agent to agent messaging over MCP and A2A

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…

What it does

In the maker’s words, at launch

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: https://github.com/agentdmai/a2a-simulator https://agentdm.ai

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