Container Use
Experimental isolated development environments that let coding agents work in separate containers and Git branches.
What it helps with
Container Use gives each coding agent a separate container and Git branch, making it easier to run experiments or parallel tasks without contaminating the host project. It exposes an MCP server and CLI compatible with Claude Code, Cursor, and other MCP clients; Codex should work through MCP, but teams should test the exact client flow. It is explicitly experimental and powered by Dagger, so container images, caches, secrets, branches, and cleanup need technical ownership.
Best fit
Best for experienced engineering teams evaluating stronger isolation; not for a production promise or non-technical self-hosting.
Setup reality
Ops-heavy, correcting “docker-simple”: install the CLI, run a compatible container runtime/Dagger, configure MCP, and manage environments/branches.
License context
Permissive licenseBusiness use and modification are generally allowed. Keep required notices and review trademarks, dependencies, and hosted-service terms.Apache-2.0. Commercial use and modification are allowed with Apache notice/license obligations.
Resource facts
- Use case
- AI Agent Tools & UIs
- Industries
- Developers
- Setup
- Docker/simple
- Audience
- Technical
- Capabilities
- No catalog chips
Last verified . Source: github.com