Multiplayer Agents: AI Employees, Poisoned Plugins, Retired GPTs

“Power corresponds to the human ability not just to act but to act in concert.” – Hannah Arendt

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❓ What You’ll Learn

  • Why are teams giving tasks to one shared AI agent?
  • Whose permissions should a shared agent use when anyone can ask it to act?
  • Which companies outside tech already pay for a shared agent?
  • Where can a small team still win once Slack bundles a shared agent in?


💎 Why It Matters

AI agents are moving out of private chats into team channels.


🔍 Problem

Your team has more work than people.

Each task waits in line until someone is free to do it.


💡 Solution

Teams tag a shared AI agent that starts tasks right away.


🏁 Players

AI Coworkers

  • Viktor • AI coworker a whole workspace shares.
  • Dust • Company agents any member calls in Slack.
  • Lindy • One teammate shared across the team.

Workspace Agents

Coding Agents in Slack

  • Slack Code • Code channels where teams steer agents.
  • GitHub Copilot • Shared coding sessions started from Slack.
  • Devin • Coding agent teammates tag in threads.

Self-Hosted Agents

  • OpenClaw • Open-source agent for your team’s chats.
  • qm • YC’s open-source multiplayer agent for work.
  • Hermes Agent • Nous Research’s agent for chat apps.

Agent Chat Apps

  • Buzz • Block’s workspace where agents are members.
  • Macro • Workspace where agents inherit asker permissions.
  • Mantle Chat • Team channels where you tag any model.

Group Chat Agents

  • Shapes • Group chats where AI joins friends.
  • Jarvie • iMessage sidekick that remembers the group.
  • ChatGPT group chats • ChatGPT inside a chat with friends.


🔮 Predictions


☁️ Opportunities


🏔️ Risks

  • Poisoned Plugins • Vet each plugin, since a ClawHavoc skill runs with the team’s keys.
  • Model Lock-In • Pick a shared agent that can switch AI models when one company raises prices.
  • Runaway Spend • Cap each person so one heavy user can’t drain the team’s credits.


🔑 Key Lessons

  • Decide whose permissions the agent uses before you pick a vendor. Claude Tag uses its own permissions and OpenTag uses the asker’s.
  • Keep the team’s memory in files you hold, so switching vendors costs 1 week.


🔥 Hot Takes

  • Slack is the new prompt box. Teams learn AI by watching each other tag it.
  • The org chart now has a bot handle. Shared agents get their own name in Slack.


😠 Haters

“Anyone in the channel could ask the bot for files they shouldn’t see.”
Since an agent with its own login can show people files they aren’t allowed to open, pick one that uses the asker’s permissions, like OpenTag or WorkOS’s Atlas.

“We tried Slack bots in 2016. Nobody used them.”
Those bots posted alerts and teams muted them. Today’s agents finish the work: the Slack coworker Viktor hit a $15M yearly revenue rate3 months after launch.


🔗 Links

  1. The Multiplayer AI Manifesto • 5 principles for team agents.
  2. AI Agents in Action: Brex • How Brex shipped a named customer agent and cut answer time 90%.
  3. Introducing Buzz: Where Humans and Agents Work Together • Block’s case for agents as channel members, not one person’s assistant.


    📈 What else?

    Trends PRO #0186: Multiplayer Agents has more insights.

    What you’ll get:

    • 56 Players (211% more)
    • 8 Predictions (167% more)
    • 8 Opportunities (100% more)
    • 5 Risks (67% more)
    • 4 Key Lessons (100% more)
    • 4 Hot Takes (100% more)
    • 9 Links (200% more)

    With Trends Pro you’ll learn:

    • (📈 Pro) Who raised $5.1M to build an AI social network in iMessage?
    • (📈 Pro) Who raised $60M to decide what an agent may do for each person?
    • (📈 Pro) Which startup joined Meta 8 months after launching a multiplayer agent?
    • (📈 Pro) Which developer platform now blocks any agent tool missing from a company’s allowlist?
    • (📈 Pro) Which startup turns construction crews’ WhatsApp chats into a daily site report?
    • (📈 Pro) Which AI lab warns its team bot can use any teammate’s secrets?
    • And much more…

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