Mosaic is a collaborative environment designed to facilitate real-time interaction between teams and their AI agents. Developed by Emergent Computing, the platform functions as a shared, persistent workspace where humans and agents can work together on complex tasks. It enables the creation of infinite agent networks, allowing users to route tasks through single or multiple agents seamlessly. By providing a unified space, Mosaic ensures that all participants, whether human or AI, maintain shared context and visibility throughout their workflows. The platform is built to handle the complexities of multi-agent orchestration, making it suitable for both professional software engineering teams and research labs focused on agent-based simulations.

Functionality within Mosaic revolves around the concept of a shared digital environment where AI agents and human users interact within the same sandboxed space. It supports real-time collaboration, allowing multiple users to observe agents as they work, interact with shared terminals, and contribute to the same codebase or task simultaneously. The system manages session persistence, meaning that work environments remain active even when users log off, allowing teammates to pick up exactly where a session left off with the agent's progress and state fully preserved.

Some of the key features are:

• Infinite Agent Networks: Create and scale custom agent networks of any complexity, with the platform handling all routing and connection logic.
• Figma-style Collaboration: Observe agent activities in real-time with live cursors, track typing, and interact with the same terminal environment simultaneously.
• True Pair Programming: Enable AI agents to co-pilot code alongside multiple human developers, maintaining context across different devices.
• Persistent Sessions: Maintain continuous agent execution and state preservation, allowing teammates to rejoin sessions at any time to see progress.
• Inter-agent Networking: Securely bridge internal custom agents with external partner agents to build verified and encrypted automation ecosystems.
• Instant Sandbox Environments: Spin up multi-agent networks rapidly for testing and simulation purposes without configuring underlying infrastructure.
• Behavioral Simulations: Observe how different agent personas interact, clash, and reach consensus in real-time environments to study agent behavior.

Operationally, Mosaic provides a client application that serves as the interface for these collaborative sessions. Users connect their workspaces to the Mosaic platform, where state, terminals, and context are synced across all authorized participants and agents. The system acts as a middleware layer that abstracts the networking requirements, allowing developers to focus on defining agent behaviors and tasks rather than managing connectivity. Through the dashboard, users can manage their teams, control access, and monitor their active agent networks.

Some common use cases include:

• Software Development: Teams use agents to write tests, refactor code, and manage middleware, with multiple developers monitoring the AI's output in real-time.
• Multi-Agent Simulation: Researchers build complex networks of agents to test interactions, observe consensus formation, and analyze how agents handle real-world software constraints.
• Cross-Organization Automation: Businesses bridge their custom agents with external partner networks to facilitate secure, automated business processes across company boundaries.
• Persistent Research Workflows: Labs utilize persistent sessions to run long-term experiments where agents operate independently and preserve all results for human review.