Devsy gives teams and their AI coding agents separate workspaces built from one standard definition. Workspaces run on Docker, Kubernetes, cloud providers, and SSH remote hosts.
| Website | https://www.devsy.sh |
| Quickstart | https://www.devsy.sh/docs/getting-started/install |
| Documentation | https://www.devsy.sh/docs/what-is-devsy |
| Repository | https://github.com/devsy-org/devsy |
Devsy has a desktop app and a command-line tool. See the Devsy Docs for install steps.
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Devsy uses the open DevContainer standard. Workspaces are portable across provider backends.
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Cost savings Run workspaces locally or remotely. Auto-shutdown stops idle ones. |
No vendor lock-in Use cloud providers or self-managed platforms. |
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Flexible development Run the same environment locally and remotely. |
Cross-IDE support Works with VS Code and JetBrains. |
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Feature set Prebuilds, inactivity shutdown, and Git and Docker credential sync. |
Desktop App The desktop app manages workspaces. The CLI runs automation and platform integration. |
Devsy runs each AI coding agent in its own container, built from the same devcontainer.json your team uses. What a container can reach depends on the provider, mounts, network, and configuration.
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Separate containers Each agent workspace runs in its own container, apart from your other workspaces. |
Credential sync Git and Docker credentials sync into the workspace, and code in the container can use them. Review devcontainer.json before you start a workspace. See Reuse local credentials.
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Destroy and rebuild Delete a container and rebuild it from devcontainer.json.
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One environment, many agents Start as many agent workspaces as you need from the definition your team uses for development. |
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Choose where agents run Use local Docker for small tasks. Use Kubernetes or cloud providers for many agents at once. Auto-shutdown stops idle agent workspaces. |
Same setup every time Every workspace starts from the same definition. |