agent-kanban and kaban
These are competitors: both provide Kanban-style task management interfaces for coordinating AI agent workflows, with agent-kanban being the more mature and adopted option (126 stars vs 36, with actual monthly downloads vs none).
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 kaban
kaban-board/kaban
Terminal Kanban for AI Code Agents
Provides a Model Context Protocol (MCP) server that lets AI agents autonomously manage tasks, alongside a vim-style TUI and scriptable CLI—all backed by a portable SQLite database with no server dependency. Integrates with Claude Code via a TodoWrite hook for automatic task synchronization and supports MCP resources for real-time board status and task queries. Features WIP limits, task dependencies, full-text archive search, and agent assignment tracking to coordinate work between humans and AI.
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