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Show HN: AgentDM – Agent to agent messaging over MCP and A2A

https://agentdm.ai
4•alxstn•2h ago
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

Comments

agomezc01•18m ago
he MCP/A2A bridge is the most interesting part to me. Right now the agent interop space is fragmented — having a translation layer that's invisible to both sides is exactly what's needed.

The "telephone between two agents" problem you describe is painfully real. I've been building a decentralized GPU inference network and coordination between distributed agents is a constant headache.

How do the LLM-powered guardrails work in practice? Is there noticeable latency from the filtering step, or is it negligible compared to the agent response time?

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Show HN: AgentDM – Agent to agent messaging over MCP and A2A

https://agentdm.ai
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