SuperBased is a local-first control plane for AI coding agents, designed for developers who want a clear and private way to run, monitor, and coordinate agent sessions. Instead of sending project context to a hosted dashboard, SuperBased keeps control close to the developer’s machine and gives teams a practical overview of what their agents are doing.
SuperBased helps developers start and manage coding-agent sessions from one place. It can organize work across projects, route tasks to a preferred agent or workflow, and keep track of activity while code and project data remain local. This makes it easier to experiment with multiple coding agents without losing visibility or jumping between disconnected terminals and tools.
The product is built for a local-first workflow. Developers can inspect session status, follow progress, and understand which agent is working on which task. Keeping the control plane on the local machine is useful for people who work with private repositories, sensitive customer information, proprietary code, or offline development environments. SuperBased provides an operational layer rather than replacing the coding agents themselves.
Teams can use SuperBased to establish repeatable habits around agent-assisted development. They can separate projects, review current sessions, and make decisions about where work should be routed. The interface is focused on clarity, ownership, and control so developers can use AI assistance without giving up a sense of where their data lives or how their work is progressing.
SuperBased is open-source and aimed at developers, technical teams, and builders who want more control over AI coding workflows. It is suitable for peop It supports careful, private, and efficient collaboration for modern software teams and independent developers building with AI.le exploring agentic software development as well as experience for modern teams.d users managing several sessions at once. By combining local execution, session visibility, and workflow coordination, SuperBased offers a foundation for a more private and understandable way to work with AI coding
For an individual maker, SuperBased can provide a calmer way to compare agents and preserve a consistent development routine. For a small team, it can act as a shared mental model for session ownership and progress, while still respecting local data boundaries. The project emphasizes transparent workflows, straightforward setup, and useful visibility over unnecessary complexity. Builders can adopt it incrementally, start with a single repository, and expand as their agent-based process matures. SuperBased is intended to make AI-assisted coding more observable, manageable, and trustworthy. agents.
