Superset - IDE for the AI Agent Era

Key Features

• •Parallel Execution: Launch multiple AI coding agents across different tasks simultaneously. Each agent works on its own isolated branch, allowing you to handle features, bugs, and refactoring in parallel without context switching.
• •Universal Compatibility: Superset works with any CLI-based coding agent including Claude Code, OpenCode, Cursor, Codex, Gemini, and Copilot. Switch between agents seamlessly within the same workspace.
• •Git Worktree Isolation: Each agent runs in its own isolated Git worktree, preventing merge conflicts and ensuring changes are kept separate until you review and merge them. The diff viewer and commit history are built-in.
• •Open in Any IDE: With one click, you can open any worktree in your preferred editor – VS Code, Cursor, Xcode, JetBrains IDEs, Sublime Text, Terminal, or Finder. No lock-in to a single editing environment.
• •Workspace Management: Create and manage multiple workspaces, each with its own set of agents and tasks. The interface shows real-time status, ports, and MCP server connections for complete oversight.
• •Automations: Set up automations for repetitive tasks to streamline your workflow. Integrates with MCP servers for extended functionality and custom tooling.

Use Cases

• •Adding a new feature while fixing a bug in parallel: Use Claude Code to implement a feature and OpenCode to fix a reported bug simultaneously. Each agent works in its own worktree, and you review both changes before merging.
• •Refactoring across multiple code areas: Run Cursor Agent to refactor the frontend while Codex refactors the backend. Superset isolates changes so no conflicts occur, and you can merge each part independently.
• •Comparing AI model outputs: Launch the same task with different agents (e.g., Claude Code vs Gemini) and compare results side-by-side. Choose the best implementation without manual context switching.
• •Rapid prototyping with multiple approaches: Start three agents to prototype three different solutions to a problem. Review all outcomes in the dashboard and merge the winning solution.
• •Parallel experiment runs: Use Superset to run multiple agent experiments on different branches, tracking changes and outcomes. This is ideal for testing new libraries or architecture changes concurrently.

Who is this for?

Superset is designed for individual software developers, founding engineers, and engineering teams who use AI coding agents to accelerate their work. It is particularly valuable for technical leaders at startups and enterprises (e.g., Microsoft, OpenAI, Salesforce) who need to manage multiple agent-driven tasks simultaneously without merge conflicts. The tool appeals to developers working with CLI-based agents like Claude Code, OpenCode, or Cursor, and who want to move beyond sequential workflows. It is also suitable for teams building AI-native products and those participating in open-source projects, as evidenced by its 12k GitHub stars and adoption by companies like Runway and Datadog.