Leo G. Hart
Bead Me Up, Scotty is always on, making it easy to use daily. It provides a dense, fast, keyboard-friendly board that reads and writes real beads for agent tasks.
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David R. Halloway
Bead Me Up, Scotty offers a compelling solution for visualizing work managed by AI agents. The application provides a dense, keyboard-friendly interface that reads and writes directly to the beads CLI. Key features include a five-column board for workflow management, a live dependency graph for tracking relationships, and support for epics with progress indicators. It also distinguishes between human and agent contributions through configurable allowlists. The software integrates with Next.js and shadcn/ui, ensuring a modern user experience. Users can switch between multiple projects and view tasks in either board or list formats. The architecture maintains the CLI as the single source of truth, ensuring data integrity while providing a rich visual experience for teams managing distributed tasks.
Mara J. Kline
Bead Me Up, Scotty serves as a visual layer for Steve Yegge’s beads tool. It provides a Kanban board with five columns, allowing users to drag cards between statuses like Ready and Done. The interface includes a live dependency graph and supports epics with progress bars. It tracks human versus agent attribution and allows commenting. While the source text highlights these features, it does not compare them to competitors or specify pricing models. The tool seems suitable for those needing a UI for an agent-native tracker, though the scope of included services remains unclear from the available information.
Elias Thorne
Bead Me Up, Scotty finally gives us the visual interface we needed for Steve Yegge's beads tracker. It makes agent work actually visible.
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Bead Me Up, Scotty is a web-based task board application that provides a visual interface for "beads," a distributed graph-based issue tracker originally designed for AI agents. It sits on top of the existing beads (`bd`) CLI and reads and writes data by shelling out to it, acting as a human-friendly front end without introducing its own database schema. The application offers Kanban-style task flow, a live dependency graph, epic tracking with progress indicators, and human-versus-agent attribution for work items. It is built using Next.js and shadcn and is positioned as a local-first tool for managing projects that involve both human contributors and AI agents.
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