"Scion treats agents as system processes, wrapping each one in a dedicated container and tmux session, allowing them to work on different parts of a project without conflicting."
"Each agent gets its own container, Git worktree, and credentials, enabling simultaneous operation of a research agent, coding agent, and auditing agent without risking data collisions."
"Scion's coordination is emergent rather than scripted, allowing agents to dynamically learn a CLI tool and decide how to coordinate their actions."
Scion is a multi-agent orchestration testbed designed to manage concurrent AI agents running in containers. It allows developers to experiment with parallel agent execution across various tasks. Each agent operates in its own container, Git worktree, and has separate credentials, preventing conflicts. This isolation enables simultaneous operation of different agents, such as research, coding, and auditing, without data collisions. Scion's coordination approach is emergent, allowing agents to dynamically learn and decide how to work together without predefined roles.
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