Container Use, an open-source tool by Dagger team, simplifies parallel AI-based coding agent workflows. It provides isolated development environments and Git worktrees to enable conflict-free operations. By automating the creation of new environments using lightweight containers and Git worktrees, developers can safely run multiple agents on the same codebase.
The tool supports interactive debugging, service tunneling, and terminal access for full control over each agent task. Users can switch contexts easily using commands like container-use list, watch, log, or diff. Container Use also offers a dedicated “background” profile to manage agent tasks independently from interactive editing sessions.
In traditional workflows, complex directory structures or staging are often required to prevent conflicts in monorepos or multi-agent setups. Container Use addresses this by combining container isolation with Git worktree flexibility, providing real-time visibility and simple intervention points.
While still in early development, Container Use has known issues and refinement needs. Some users requested the ability to execute tools directly from the terminal for better debugging capabilities. Several alternatives exist, such as SandboxAI, Modal Sandboxes, E2B, Code Sandbox MCP, and Uzi, which also provide isolated environments for AI code execution.
These tools demonstrate a growing trend of isolating AI agent tasks using containerization, virtualization, or file-system worktrees to enhance safety, scalability, and developer control.
Source: https://www.infoq.com/news/2025/08/container-use