Dais, developed by dais, is an open-source Windows desktop utility that provisions 'Desktop AI Staff' to automate multi-step desktop workflows. It lets users deploy multiple agents, assign discrete skills, and connect those agents to external software so they can run project-specific tasks and scripts inside isolated workspaces. Core strengths include agent extensibility, skill management, workspace switching, and concurrent task tracking, aimed at developers and power users needing desktop-level automation and script integration.

How does the tool connect agents to local developer tooling?

The tool integrates with local runtimes and package runners, using built-in hooks for tools such as uv and npx to manage agent dependencies and execute scripts. The desktop client is delivered as a Windows x64 installer (.exe) or MSI, and the project offers an SDK for custom agent creation, so developers can extend agents by writing modules that the tool invokes through the local environment.

What is the system footprint and installation model?

Installation targets standard desktop deployments, with standalone and system-wide installers for Windows x64. The client is implemented with modern web technologies, which implies a runtime layer on top of the OS; that design means agent tasks run through the host toolchain rather than inside a separate cloud service. The project shows an active release cadence, indicating frequent updates and iterative changes to runtime behaviour.

Is it safe to run agent workflows on a production desktop?

Execution is controlled by permission and workspace boundaries, letting users confine agents to specific contexts and assigned capabilities. Workspace separation is designed to reduce cross-project interference, and skill assignment limits what an agent can call. Those controls are intended to keep agent actions scoped to user-defined limits; operators should still test workflows in a non-critical environment before applying them to important projects.

Do I need technical skills to get useful results?

The tool targets technically proficient users, especially those comfortable with local toolchains and scripting. Using the SDK, creating custom skills, or connecting external tools requires developer knowledge of package runners and dependency management. Casual users can explore basic agent deployment, but power features assume familiarity with the local runtime and occasional maintenance as the project evolves.

The tool suits technical users who manage desktop automation

The app is a practical option for developers and power users who need local agent orchestration and scriptable workflows, but it requires hands-on setup and maintenance of the host toolchain. Expect an active development cadence and plan to validate agent tasks in a safe environment before relying on them for important work. Recommended.