Native Desktop + CLI

POV: your backlog clears itself overnight.

wait..., are you still babysitting chatbots?! kanq runs your AI coding agents in isolated environments while you focus on architecture.

Launching Q2 2026

AI work deserves
a real workspace.

Developers spend their time babysitting chat bots.kanq brings back the confidence of being a real software engineer.

See everything.
Control everything.

A native Kanban board that shows what every agent is doing, right now. Drag tasks between columns, watch progress in real-time, and never lose track of parallel work.

  • Visual task queue
  • Multi-agent parallelism
  • Persistent history
kanq board view showing tasks across To do, Planning, Building, and Done columns

Terminal-first.
No friction.

Spawn tasks, control queues, and monitor agents without leaving your terminal. The GUI shows the big picture. The CLI keeps you in flow.

$ kanq add "Refactor auth module"

Task #42 created

$ kanq queue 42

Queued for next available agent

$ kanq watch 42

● Planning: analyzing codebase structure...
100%
Local-first. Your code never leaves.
24/7
Queue tasks at night. Review results in the morning.

Isolated by default.
Merged by you.

Every task runs in its own Git worktree. Agents can't touch your working directory. Dangerous commands require explicit approval. Nothing lands without your review.

Git worktrees

Isolated branches. Clean history. No stash juggling.

Container Sandboxes

Agents run autonomously in a safe environment and wont access your system directly.

Permission Required

Agent wants to run:

rm -rf ./deprecated-module

Delegate the tedious.
Focus on architecture.

Define tasks with context and intent. Let agents handle the implementation.

Refactor Legacy Code

Hand off a tangled codebase with clear goals. Get back clean, typed, tested code.

Write Test Suites

Point at a package, specify coverage targets. Watch the tests land.

Generate Documentation

Keep READMEs and API docs synchronized with your actual implementation.

Database Migrations

Automate schema changes and data transformations with rollback safety.

Pre-Review PRs

Agents flag style issues, security concerns, and complexity before human review.

Scaffold Features

Generate boilerplate for endpoints, models, and UI components in your patterns.

Build with kanq

Stop babysitting bots

Queue tasks, let agents run in isolation, and review diffs when you’re ready.

Frequently Asked
Questions

Everything you need to know about kanq.

kanq is a native desktop application with a companion CLI for orchestrating AI coding agents. Think of it as a command center: you define tasks, agents execute them in isolated environments, and you review the results before merging. It's designed for developers who want AI assistance without losing control.
kanq is model-agnostic. Run local models through Ollama or LM Studio for privacy, or connect to cloud providers like OpenAI, Anthropic, and OpenRouter. You can mix models—use a fast local model for planning and a more capable cloud model for complex implementation.
Every task runs in its own Git worktree or container, completely separate from your main codebase. Agents can't touch your working directory. When a task completes, you review the diff and decide whether to merge, modify, or discard. Nothing lands without your approval.
kanq implements a permission system for dangerous commands. If an agent tries to delete files, run scripts, or access credentials, you'll see a permission prompt with the exact command. Deny, allow once, or allow for the session—you're always in the loop.
No. kanq runs entirely on your machine. Your code, prompts, and agent outputs never leave your computer unless you explicitly connect to a cloud model provider. The app itself requires no account, no subscription, no telemetry.
We're rolling out early access in Q2 2026. Join the waitlist to be notified when spots open. Early users will help shape the product and get extended access.