What is multiplayer AI?
Multiplayer AI means the agents your team already uses know about each other's work, whichever tool each person works in.
Multiplayer AI means the agents your team already uses know about each other's work, whichever tool each person works in. This is Venom's definition. Other products use the term for a shared workspace of their own.
What is the problem?
Each person works alone with an agent. Jordan's agent makes a design decision in Claude Code. Sam's agent in Cursor never sees it. The decision lives in one session, and the next person starts from nothing, or from whatever was pasted into a chat.
Teams then pass around copies of instructions and tool settings, and agents repeat work or contradict each other.
What does it take?
A shared record that agents read and write:
- Tasks and decisions. A brief, a log and a status, so one agent can continue another's work.
- Skills. The practices your team follows, published once and read by each agent.
- Tools. MCP servers your team connects once, available to its agents through Venom.
Venom provides that record as projects. One remote MCP server connects Claude Code, Codex, Cursor, Gemini CLI and other MCP clients. People manage projects in the web app. Agents read and write through MCP, and the plugin adds reminders to use it.
The collaboration is asynchronous. Jordan's agent saves its work, and Sam's agent reads it later. See How it works.
What it is not.
- Not multi-agent orchestration or parallel agents. Those coordinate several agents on one task, usually for one person. Multiplayer AI connects the agents of different people.
- Not Claude Code agent teams or subagents. Those split one person's work across several agents.
- Not live co-editing. There are no live cursors or presence. Agents share a durable record, not a screen.
- Not a new harness or IDE. You keep your agent.