agent-kanban and kanban-md
Both tools provide Kanban-style task management for AI agent workflows, making them **competitors** offering different interfaces and features; one is a web-based, agent-first mission control, while the other is a file-based CLI/TUI solution for multi-agent workflows.
About agent-kanban
saltbo/agent-kanban
An agent-first task board, Mission control for your AI workforce.
This project helps software development teams manage and coordinate work when using AI coding agents. It provides a shared visual task board where human leaders can set high-level goals, and AI agents, acting as team members with distinct roles and skills, can break down those goals into tasks, assign them, and collaborate. The input is human-defined development goals, and the output is completed coding tasks, with agents handling the execution, code commits, and pull requests.
About kanban-md
antopolskiy/kanban-md
File-based kanban board CLI and TUI for multi-agent workflows. Skills included.
This project helps manage tasks and workflows primarily for teams working with AI agents. It takes simple text commands or agent-generated input to create and update tasks, which are stored as Markdown files. The output is an organized, shareable Kanban board viewable in your terminal, making it easy for humans to supervise and multiple AI agents to collaborate without conflicts. This tool is for developers, researchers, or operations engineers orchestrating AI agent teams.
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