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kdlbs/kandev

Self-hostable kanban board for running multiple AI coding agents in parallel, with worktree isolation, an integrated review workspace, and PR creation.

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What is it?

Kandev is a kanban-style task manager for AI coding agents. Each task can be assigned to an agent from a supported provider such as Claude Code, Codex, GitHub Copilot, or Gemini CLI, and several tasks can run at the same time. Git worktrees keep concurrent agents from conflicting with each other.

Instead of reviewing agent output only in a terminal, Kandev provides a workspace with a file editor, file tree, terminal, browser preview, and git changes panel. Multi-step workflows can use different agents for different stages, such as planning, implementation, and review. Tasks can also be linked to GitHub, GitLab, Jira, Linear, Sentry, or Azure DevOps issues and PRs.

Kandev runs as a native Go binary with the web UI embedded, and can be installed via Homebrew, Scoop, npm, or built from source. Agents can run as local processes, in Docker containers, on SSH servers, in Kubernetes Pods, or in sprites.dev cloud environments. The project states it has no telemetry.

Key features

  • 01Kanban boards with drag-and-drop, plus multi-step agentic workflows that mix agents per step
  • 02Git worktree isolation so parallel agents don't conflict, with multi-repository tasks supported
  • 03Integrated workspace with editor, terminal, file tree, browser preview, and git changes
  • 04Runs agents locally, in Docker, Kubernetes, over SSH, or in cloud executors
  • 05Task-agent and external MCP support for creating subtasks and managing Kandev from other agents
  • 06Automations triggered by schedules or webhooks

Use cases

  • Running several coding agents on different issues at once and reviewing their diffs in one place
  • Splitting a large task into subtasks or producing multiple PRs from one starting point
  • Offloading agent execution to a remote server while controlling tasks from a browser or phone
  • Teams that want a shared, self-hosted workflow for AI-assisted development

Quick start

  1. 1

    Install via Homebrew (macOS, Linux)

    brew install kdlbs/kandev/kandev
  2. 2

    Launch Kandev

    kandev

Things to know

  • Requires you to install and authenticate at least one external agent CLI before tasks can run.
  • Licensed under AGPL-3.0, a copyleft license that requires sharing modified source when offered as a network service.

In collections

Tools for running coding agents in parallelMulti-agent orchestration frameworksOpen-source AI agent frameworks & appsAI coding assistants & agentsSelf-hosted apps

Topics

#ai-agents#coding-agents#kanban#developer-tools#git-worktree#self-hosted#code-review#agent-orchestration#acp#agentic-ai

FAQ

What is kandev?
Self-hostable kanban board for running multiple AI coding agents in parallel, with worktree isolation, an integrated review workspace, and PR creation. Kandev is a kanban-style task manager for AI coding agents. Each task can be assigned to an agent from a supported provider such as Claude Code, Codex, GitHub Copilot, or Gemini CLI, and several tasks can run at the same time. Git worktrees keep concurrent agents from conflicting with each other.
Is kandev free to use? What license does it have?
kandev is open source under the AGPL-3.0 license. Check the license terms before using it in commercial products.
Is kandev still maintained?
Actively maintained. The last commit to kandev was on Nov 6, 2026.
What can I use kandev for?
Running several coding agents on different issues at once and reviewing their diffs in one place Splitting a large task into subtasks or producing multiple PRs from one starting point Offloading agent execution to a remote server while controlling tasks from a browser or phone Teams that want a shared, self-hosted workflow for AI-assisted development
How do I install kandev?
Install via Homebrew (macOS, Linux): brew install kdlbs/kandev/kandev Launch Kandev: kandev
Where can I get kandev?
The source code and installation instructions are on GitHub: https://github.com/kdlbs/kandev

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