A new code editor called Superset is targeting developers who want to run multiple AI coding agents at the same time on a single machine. The pitch is direct: it is a code editor built for the AI agents era, designed to coordinate an army of agents such as Claude Code and Codex running in parallel.
This matters because most existing editors were built around a single developer, or at most a single AI assistant, working in one context at a time. Running several autonomous coding agents side by side introduces coordination problems: file conflicts, context isolation, resource contention. Superset positions itself as the interface layer that handles this.
The project is open source under the superset-sh organization on GitHub. It has accumulated 11,000 stars and 919 forks, which suggests the problem resonates with a wide audience of product engineers and platform teams.
The repository name and description reference Claude Code and Codex explicitly as examples of the agents you might run. Beyond that, the source material does not specify which agents are supported, how scheduling works under the hood, or what the exact resource requirements are. Details on pricing, version numbers, and benchmarks are not present in the available material.
What the project does communicate clearly is the workflow target: developers who are moving from writing code themselves, or supervising one AI assistant, to orchestrating multiple autonomous agents concurrently. That shift changes what a code editor needs to do. It needs to manage multiple independent processes, surface their outputs without overwhelming the user, and provide controls to intervene when an agent goes in the wrong direction.
The GitHub issues count (585 open) and pull requests count (511 open) indicate active development momentum, but also that the project is still evolving quickly. Expect rough edges.
If you are already running Claude Code or similar CLI agents and find yourself manually juggling multiple terminal sessions, Superset is worth cloning and testing today. The concrete next step: pull the repo, spin up two agents on separate tasks in a real project, and see whether the editor's coordination layer saves you the context-switching overhead that current tooling forces on you.