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openkanban

Open Source
• Updated Jun 10, 2026, 04:09 AM

Openkanban is a terminal user interface (TUI) kanban board application for orchestrating AI coding agents.

Use Cases ▼
01

Organizing a large feature implementation by splitting it into sub-tasks and assigning each to an AI coding agent for parallel execution.

02

Tracking and reviewing multiple AI-generated code changes across different branches or files from a single dashboard.

03

Setting up a continuous integration workflow where AI agents autonomously handle bug fixes and push changes based on kanban card statuses.

04

Onboarding new team members by using AI agents to complete repetitive setup tasks while monitoring their actions through the kanban board.

05

Running AI agents in headless mode on a remote server and managing their tasks via an SSH-connected terminal kanban session.

What Problem It Solves ▼

Developers increasingly rely on AI coding agents to automate software tasks, but managing multiple agents simultaneously becomes chaotic without a centralized coordination system. Openkanban solves this problem by providing an intuitive kanban board interface in the terminal, where developers can break down complex coding efforts into discrete tasks, assign them to different AI agents, and monitor progress in real time. It eliminates the friction of context switching and overlapping agent operations, giving developers a single pane of glass to orchestrate their AI-powered development pipeline.

Key Features ▼
✓

Lightweight terminal‑based interface that works over SSH, ideal for remote development and server environments.

✓

Open source with active development, transparent codebase, and community contributions.

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Keyboard‑driven navigation allows fast task management without leaving the terminal.

✓

Supports multiple AI agent backends (e.g., opencode, Claude Code) for flexible tool choice.

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Built with testing infrastructure ensuring reliability and easy integration into developer workflows.

Overview

Openkanban is a terminal user interface (TUI) kanban board application for orchestrating AI coding agents. It enables developers to visually manage multiple AI agents that assist with software development tasks directly from the command line. The tool presents a kanban board with customizable columns, where each card represents a task assigned to an AI agent, such as code generation, bug fixing, or refactoring. Users can create, move, and track tasks across stages like To Do, In Progress, and Done, all through keyboard-driven navigation. Openkanban integrates with various AI coding agent backends, including opencode and Claude Code, allowing seamless spawning and monitoring of agents within the terminal. It is built in Go, making it fast, portable, and easy to install. The application emphasizes clarity and control, providing real-time status updates and logs for each agent task. Additional features include configurable default agents, graceful handling of missing binaries, and on-demand server startup to avoid crashes. The project is open source under the MIT license and follows modern software practices with comprehensive testing and CI/CD workflows. Developers can use Openkanban to parallelize their AI coding workflows, ensuring efficient use of AI assistance without losing track of what each agent is doing.

Pros & Cons

Pros

+

Lightweight terminal‑based interface that works over SSH, ideal for remote development and server environments.

+

Open source with active development, transparent codebase, and community contributions.

+

Keyboard‑driven navigation allows fast task management without leaving the terminal.

+

Supports multiple AI agent backends (e.g., opencode, Claude Code) for flexible tool choice.

+

Built with testing infrastructure ensuring reliability and easy integration into developer workflows.

Cons

−

Terminal‑based UI may be less intuitive for users accustomed to graphical kanban tools; steep learning curve.

−

Manual configuration required for each supported AI agent backend, with potential startup issues if binaries are missing.

−

Relatively new project, so may have limited third‑party plugins and breaking changes between releases.

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