OpenAI builds and deploys advanced AI models like GPT-4o for autonomous agents and workflows.
M9R
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About M9R
M9R connects multiple AI coding agents such as Claude, Codex, and OpenCode into a shared workspace. It enables these agents to work in parallel across separate terminals while maintaining a unified context and history. The tool allows users to hand off tasks between agents without losing context, reducing the need for manual copy-pasting and re-explaining. Sessions remain linked so that all agents and users can track progress and decisions in real time. It supports multiplayer collaboration where multiple users can participate in the same agent session. M9R operates as a background layer rather than a standalone application, integrating directly with the agents’ existing workflows. The platform emphasizes shared memory and controlled approvals to streamline complex coding tasks.
Key features
- Shared context across multiple agent terminals
- Task hand-off between agents without context loss
- Real-time session linking and progress tracking
- Multiplayer collaboration support
- Background layer integration with existing agents
- Controlled approvals for agent actions
- Parallel agent execution
- Unified history and decision logging
Use cases
- Coordinating multiple AI agents on a single coding project
- Collaborative debugging with shared context
- Sequential task delegation between specialized agents
Pros
- Connects multiple AI coding agents into a shared workspace
- Maintains unified context across parallel agent sessions
- Reduces manual copy-pasting and re-explaining tasks
- Supports multiplayer collaboration with real-time tracking
- Operates as a background layer without requiring a separate app
Cons
- Requires existing AI coding agents to function
- No standalone application; must integrate with agent terminals
- Limited to coding-focused AI agents
Frequently asked questions about M9R
What is M9R?
M9R connects multiple AI coding agents such as Claude, Codex, and OpenCode into a shared workspace. It enables these agents to work in parallel across separate terminals while maintaining a unified context and history.
Who is M9R for?
M9R is designed for developers and teams who use multiple AI coding agents and want to streamline collaboration without losing context or manually copy-pasting between sessions.
How does M9R work?
M9R operates as a background layer that integrates with existing agent workflows. It allows agents to share context, hand off tasks, and track progress in real time, while supporting multiplayer collaboration.
Does M9R support multiplayer collaboration?
Yes, M9R supports multiplayer collaboration where multiple users can participate in the same agent session, keeping everyone in the loop.
What integrations does M9R support?
M9R connects with AI coding agents such as Claude, Codex, and OpenCode, allowing users to integrate their existing tools without switching to a new platform.
How do I get started with M9R?
Users can sign in to M9R for free to start exploring connected work. No waitlist or enterprise quote is required to begin using the platform.
