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.
Agents are cryptographic identities (Ed25519) that self-organize across worktrees, create and delegate subtasks, and coordinate via real-time board updates—integrating with Claude Code, Codex CLI, and Gemini CLI runtimes. The daemon-driven architecture spawns isolated agent workers per task, detects GitHub merges to auto-complete work, and uses SSE for live collaboration between humans and AI on a shared board. Skills are loadable per-repo, agents have roles, and task dependencies include cycle detection for complex project decomposition.
About kanban-md
antopolskiy/kanban-md
File-based kanban board CLI and TUI for multi-agent workflows. Skills included.
Built on a single-binary Go implementation, it stores tasks as plain Markdown files with YAML frontmatter—enabling atomic operations like `pick --claim` for cooperative multi-agent locking and automatic task ID repair. Pre-built agent skills teach AI systems to autonomously manage workflows while a TUI auto-refreshes on file changes, allowing both agents and humans to interact with the same board without database or server dependencies.
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