cockpit-tools

cockpit-tools is an open-source account manager for AI coding environments and AI IDEs. The project targets a very specific workflow: developers who switch between Antigravity IDE, Codex, GitHub Copilot, Windsurf, Kiro, Cursor, Grok CLI, CodeBuddy, Qoder, Trae, Zed, ZCode, and related clients while juggling multiple accounts, quotas, and local app instances. Instead of treating each product as a separate island, cockpit-tools gives users one desktop control surface for account switching, quota visibility, wake-up tasks, and multi-instance management. The repository is multilingual and lists support for macOS, Windows, and Linux. Its README highlights one-click account switching, multi-account management, application multi-open support, quota monitoring, wake-up automation, plugin coordination, and per-tool management pages for the major coding assistants. That makes cockpit-tools most relevant to heavy users of AI coding tools, consultants who test several vendors, and teams that need to keep paid seats and quota windows organized. A typical use case is practical rather than glamorous. A developer might have one Cursor account for personal work, a Copilot account through an employer, a Codex environment for experiments, and a Windsurf or Kiro setup for another project. Without a manager, switching accounts can mean editing config, relaunching apps, or losing track of which quota belongs to which workflow. cockpit-tools attempts to make that visible and repeatable. The project is not an LLM, not an MCP server, and not a coding model. It is AI workspace infrastructure around the tools developers already use. That classification matters because the value comes from account operations, not model quality. It can sit beside agentic IDEs and CLI assistants as the control panel for login state, quotas, background wake-up, and parallel sessions. The GitHub API showed more than 16,000 stars, over 1,400 forks, hundreds of open issues, and recent activity on the day this entity was created. That is a strong community signal, but it also means buyers should test carefully before relying on it for production work. Account managers touch sensitive credentials and local application state. Teams should review the source, pin releases, and start on non-critical accounts before adopting it broadly. Pricing is free for the open-source repository itself. Users still pay for the underlying AI IDEs, coding assistants, API plans, and accounts they manage. The best fit is a builder who already pays for several AI coding products and needs a cleaner way to manage switching, limits, and concurrent local work. Before using cockpit-tools, review how each supported client stores authentication material. The tool can reduce daily friction, but teams should still protect account tokens, avoid sharing personal seats across people, and keep a written policy for which accounts may be used on client work. The cleanest rollout is a local trial with one or two AI IDEs, then adding quota checks and multi-instance workflows after the user understands the account switching model.