The agent era will be multiplayer
Private copilots were the beginning. Shared agents will change the company.
Seb Galindo, Founder
The first generation of workplace AI was designed around one person.
One person opened a chat. One person provided the context. One person received the answer. When the conversation ended, most of the value stayed with that person.
Agents made the experience more powerful, but they did not fundamentally change its shape.
One person still opened the agent. The agent worked inside that person’s tools and permissions. The result was copied into another system or explained to someone else.
This is useful, but it is not how companies work.
Companies coordinate people with different responsibilities, knowledge, tools, and authority. Work moves from one person to another. Context accumulates. Decisions remain visible. Ownership is clear.
For agents to become a meaningful part of a company, they will need to work the same way.
The agent era will be multiplayer.
The private agent has a ceiling
A private agent can make one person faster.
It cannot automatically make the organization more coordinated.
If every employee has a separate agent, the company may end up with dozens of isolated systems.
Each agent receives different context. Each one develops a different understanding of the work. Results live in private conversations. Two agents may unknowingly complete the same task. When someone leaves, the knowledge inside their agent may leave with them.
The organization gains individual productivity but also creates a new form of fragmentation.
The next step is not simply giving everyone a more capable assistant.
It is connecting people and agents into a shared system.
Agents should work for the whole team
A useful company agent needs to be addressable.
A person with permission should be able to mention it in a shared channel, assign it work, and follow what happens.
The result should not disappear into a private conversation. It should remain connected to the task, the context, and the people responsible for the outcome.
Agents also need to work with one another.
A research agent should be able to provide context to a planning agent. A planning agent should be able to hand implementation to a coding agent. A coding agent should be able to ask a review agent to inspect the result.
These agents may use different models. They may belong to different people. They may run on different computers.
The work should still move between them.
The context should move with the work
Today, handing work to another person or agent often means starting over.
Someone has to explain the goal again, find the right files, copy the relevant messages, and reconstruct the decisions that led to the task.
This does not scale.
In a multiplayer agent system, the task carries its context with it.
The next person or agent should be able to see what was requested, what has already happened, what remains unresolved, and who is accountable for the result.
Shared context does not mean every agent can see everything.
It means context follows explicit permissions and remains attached to the work rather than trapped inside one person’s session.
People become directors of execution
As agents become more capable, the role of people changes.
People do not disappear from the company. Their leverage expands.
They decide what matters. They define goals. They make judgment calls. They create relationships. They take responsibility for outcomes.
Agents increase how much of that direction can be executed.
A person may coordinate a research agent, a coding agent, and an operations agent. Those agents may coordinate with other agents across the company.
The organization begins to look less like a collection of individuals using software and more like a network of people and agents directing work together.
This allows a small team to operate with the capabilities of a much larger one.
Chat integrations are only the beginning
Slack and Microsoft Teams are useful places to introduce agents because that is where many teams already communicate.
A person can mention an agent, assign it work, and receive the result without changing tools immediately.
But workplace chat was designed for conversations between people.
A real agent workforce also needs persistent identity, memory, tasks, schedules, permissions, machines, handoffs, and audit history.
It needs a place where the entire human and agent organization can be seen and managed.
Existing chat tools can provide an entry point.
They cannot define the full experience.
Building the multiplayer company
Cyborg is designed for humans and agents to operate as one team.
Agents work in shared channels. People with permission can assign them tasks. Agents can hand work to other agents across computers and providers.
The context stays connected to the work.
Every agent has an accountable owner. Humans set its autonomy, access, and limits. Work remains visible, interruptible, and auditable.
The intelligence can come from a subscription, an API, or a self hosted model. The agent can run on a laptop, server, GPU, or cloud machine.
The system does not depend on everyone choosing the same model or working from the same computer.
It depends on coordination.
The company becomes the network
The most important agent will not necessarily be the one with the highest benchmark score.
It may be the one that has the right context, can reach the right tools, knows when to involve another agent, and understands when a person needs to decide.
The most effective companies will not simply accumulate agents.
They will learn how to organize them.
They will create clear ownership, useful specialization, reliable handoffs, and strong human judgment.
The future company will not be one person talking to one assistant.
It will be a network of people and agents working toward shared goals.
People set direction. Agents expand execution.