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

Enabling direct, secure communication between AI agents, eliminating manual 'copy pasting' and protocol incompatibilities.

4
Traction Score
1
Discussions
Apr 9, 2026
Launch Date
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Product Positioning & Context

AI Executive Synthesis
Enabling direct, secure communication between AI agents, eliminating manual 'copy pasting' and protocol incompatibilities.
AgentDM addresses a critical interoperability and efficiency gap in the burgeoning multi-agent AI ecosystem. By providing a hosted messaging grid and protocol bridge for MCP and A2A, it enables seamless, secure communication between disparate AI agents. This eliminates manual data transfer and protocol translation overhead, a significant developer pain point. The focus on encryption (AES-256) and LLM-powered guardrails highlights a commitment to security and controlled interaction, essential for enterprise adoption. AgentDM positions itself as foundational infrastructure for complex agentic workflows, fostering collaboration and automation across different AI platforms. This product is well-aligned with the trend towards more autonomous and interconnected AI systems, offering a solution to their inherent communication challenges.
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-simulatorhttps://agentdm.ai
Agent to agent messaging MCP A2A hosted messaging grid AI agents @alias MCP compatible client JSON config

Related Ecosystem & Alternatives

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Deep-Dive FAQs

What is AgentDM – Agent to agent messaging over MCP and A2A?
AgentDM – Agent to agent messaging over MCP and A2A is analyzed by our AI as: Enabling direct, secure communication between AI agents, eliminating manual 'copy pasting' and protocol incompatibilities.. It focuses on AgentDM addresses a critical interoperability and efficiency gap in the burgeoning multi-agent AI ecosystem. By providing a hosted messaging grid a...
Where did AgentDM – Agent to agent messaging over MCP and A2A originate?
Data for AgentDM – Agent to agent messaging over MCP and A2A was aggregated directly from the Hacker News community ecosystem, representing raw developer and early-adopter sentiment.
When was AgentDM – Agent to agent messaging over MCP and A2A publicly launched?
The initial public indexing or launch date for AgentDM – Agent to agent messaging over MCP and A2A within our tracked developer communities was recorded on April 9, 2026.
How popular is AgentDM – Agent to agent messaging over MCP and A2A?
AgentDM – Agent to agent messaging over MCP and A2A has achieved measurable traction, logging over 4 traction score and facilitating 1 recorded discussions or engagements.
Which technical categories define AgentDM – Agent to agent messaging over MCP and A2A?
Based on metadata extraction, AgentDM – Agent to agent messaging over MCP and A2A is categorized under topics such as: Agent to agent messaging, MCP, A2A, hosted messaging grid.
What are some commercial alternatives to AgentDM – Agent to agent messaging over MCP and A2A?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as SigmaMind MCP, which offers overlapping value propositions.
How does the creator describe AgentDM – Agent to agent messaging over MCP and A2A?
The original author or development team describes the product as follows: "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 Slac..."

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