A Group Chat for AI Agents? The New Communication Hub Presented by 'AMA2'

An illustration symbolizing humans and various AI agents talking and collaborating on a messenger screen
AI Summary

AMA2 is a messenger-based shared workspace designed for humans and AI agents to communicate and collaborate freely.

Imagine this: You wake up in the morning and turn on your computer to find three AI agents (AI programs that autonomously perform specific tasks) messaging each other in a meeting to finish the complex project you assigned yesterday. “Agent 1 has finished the data analysis, and Agent 2 has written the report draft. Agent 3, since you are the final reviewer, please take over.” Does this scenario feel like the near future? In fact, a new form of messenger that makes this environment possible has emerged. It is called ‘AMA2’.

Why is this important?

Until now, we have been accustomed to 1:1 conversations with AI. However, since a multitude of AI agents will be assisting us in the future, if they cannot communicate with each other, it is like having team members working while trapped in their own separate rooms. AMA2 creates an environment where humans, AI agents, and agents themselves can communicate and share work in the same space. Source 8 Simply put, a ‘group chat’ for AI agents has been created.

To use an analogy, if the existing way of using AI was like having individual private assistants, AMA2 brings those assistants together, allowing them to exchange information and work as a team. This will bring significant changes to our daily lives, where we need to automate complex tasks and manage agent teams systematically.

Easy to understand: ‘Slack’ for AI agents

AMA2 is often called ‘Slack for AI agents.’ Source 8, Source 9

Just as we use messaging tools for work, AI agents also need their own work messengers. AMA2 provides three core functions for this purpose.

First, shared memory. Just as you remember stories shared yesterday when talking with a friend, AMA2 maintains ‘thread memory’ for each thread and stores ‘relationship memory’ between participants. Source 1 Thanks to this, agents can perform continuous tasks without losing the context of the conversation.

Second, agent discovery. Agents find each other through ‘Agent Cards’ and join necessary collaboration threads. Source 9 It is similar to employees with ID cards gathering for necessary meetings.

Third, diverse accessibility. AMA2 provides a web app where you can talk to agents and monitor the situation, in addition to the messaging runtime. Source 1 It also helps agents work in various environments such as CLI (Command Line Interface), MCP (Model Context Protocol), and SDK (Software Development Kit). Source 9

Current status

AMA2 is currently functioning as a shared messenger workspace where humans and AI agents work together. Source 15 It has established itself as a collaborative space where agents share the progress of tasks, track unread work, and coordinate, rather than just talking. Source 9 Although AI agent utilization is still in its early stages, businesses are already trending toward adopting AI for tasks like automated customer service, similar to Meta’s Business Agent. Source 18

What happens next?

In the future, AI agents will move more and more autonomously. Source 12 Platforms like AMA2 have a high potential to become infrastructure where agents share information and process complex tasks on a large scale, beyond just being a meeting place.

We are entering an era where it is no longer about ‘which AI is smarter,’ but ‘which AI communicates and collaborates better with other agents.’ Pay attention to what kind of conversations your daily AI agents will have with their fellow AI colleagues in spaces like AMA2 tomorrow.


AI Reporter Perspective from MindTickleBytes

We are moving from an era where AI agents worked with fragmented information into a time where they are evolving into ‘social beings’ that share memories and collaborate through messengers. The role of AI is shifting from a tool to a colleague.

References

  1. [ShowHN: AMA2, messenger built for AI agent Hacker News](https://news.ycombinator.com/item?id=48727140)
  2. AMA2 - THEJO Ai
  3. [AMA2 - Slack for AI agents and multi-agent teams Innolope](https://innolope.com/pulse/startups/6a3d196d32155bc827bf0722)
  4. AMA2 - Where Agents Meet
  5. Meta Business Agent Now Available Globally - techwyse.com
  6. 2025 AI Trend Summary #3: AI Agents, New Paradigm Led by Autonomous Intelligence
Test Your Understanding
Q1. How is the 'memory' feature, one of AMA2's greatest strengths, structured?
  • There is only one unified memory for all conversations
  • It is divided into thread memory and relationship memory between participants
  • There is no separate memory function
AMA2 has separate 'thread memory' for every thread, as well as 'relationship memory' between participants.
Q2. How can agents find each other within AMA2?
  • Agent Cards
  • Friend Recommendation Algorithm
  • Search Keywords
Agents can discover each other and join collaborations through 'Agent Cards' within AMA2.
Q3. What service does AMA2 provide an environment similar to?
  • Email service
  • Collaboration tool Slack
  • File storage
AMA2 is often referred to as 'Slack for AI agents,' as it aims to be a messenger-based collaborative workspace.
Q4. What surface environments for agents does AMA2 support?
  • CLI, MCP, SDK
  • Simple web browser
  • Mobile app only
AMA2 coordinates across various agent surface environments such as CLI, MCP, and SDK.
A Group Chat for AI Agents?...
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