https://github.com/user-attachments/assets/2c0de3ec-fa3d-4f41-ae01-acbff04931e3

TUI (Textual)

TUI

Gantt Chart (CLI)

Gantt Chart

Try It Out

Try taskdog with ~50 sample tasks. No installation required — just Docker:

docker run --rm -it ghcr.io/kohei-wada/taskdog:demo

The TUI works inside the container, but some keybindings (e.g., Ctrl+P for command palette) may conflict with Docker's key sequences. For the best experience, run the server in a container and connect from your host:

docker run --rm -d -p 8000:8000 --name taskdog-demo ghcr.io/kohei-wada/taskdog:demo

# Wait for the server and demo data to be ready (~15s)
docker logs -f taskdog-demo 2>&1 | grep -m1 "Server ready"

uvx --from taskdog-ui taskdog tui

uvx comes with uv. It runs the command in a temporary environment without installing anything.

Installation

Requirements: Python 3.12+, uv

Supported Platforms: Linux, macOS

Experimental: Windows (WSL2 recommended; native support is still being hardened)

Recommended (with systemd/launchd service)

git clone https://github.com/Kohei-Wada/taskdog.git
cd taskdog
make install

This installs the CLI/TUI and server, and sets up a systemd (Linux) or launchd (macOS) service so the server starts automatically.

Arch Linux (AUR)

yay -S taskdog

Installs the CLI/TUI, server, and MCP binaries plus the systemd user service (enable per-user with systemctl --user enable --now taskdog-server). See contrib/aur/ for packaging details.

From PyPI

pip install taskdog-ui[server]

You'll need to manage the server process yourself (e.g., taskdog-server &).

Windows users

WSL2 is recommended and follows the same setup flow as Linux.
Native Windows support is experimental. By default, data is stored under %LOCALAPPDATA%\taskdog and configuration under %APPDATA%\taskdog.
The editor integration checks %EDITOR% first, then falls back to code, notepad, and vim.

Usage

taskdog add "My first task" --priority 10
taskdog list
taskdog gantt
taskdog tui

For complete setup including API key configuration, see Quick Start Guide.

Features

Multiple Interfaces: CLI, full-screen TUI, and REST API
Schedule Optimization: 9 algorithms (greedy, genetic, monte carlo, etc.)
Search & Filter: fzf-style queries, progressive filter chains, multi-field sort
Time Tracking: Automatic tracking with planned vs actual comparison
Gantt Chart: Visual timeline with workload analysis
Task Dependencies: With circular dependency detection
Markdown Notes: Editor integration with Rich rendering
Audit Logging: Track all task operations
MCP Integration: Claude Desktop support via Model Context Protocol

Search, filter & sort

Maximize the task list, sort it from the command palette, then narrow it down with / search, Ctrl+U to re-search, and Ctrl+R to build a progressive filter chain (substring + status/tag exclusion):

https://github.com/user-attachments/assets/dcb44390-7b10-49a0-bdfc-01a03d7751f9

Documentation

Quick Start Guide - Step-by-step setup
CLI Commands Reference - Complete command documentation
API Reference - REST API endpoints and examples
Configuration Guide - All configuration options
Design Philosophy - Why Taskdog works this way
Deployment Guide - Docker, systemd, launchd

Architecture

UV workspace monorepo with five packages:

Package	Description	PyPI
taskdog-core	Core business logic and SQLite persistence
taskdog-client	HTTP API client library
taskdog-server	FastAPI REST API server
taskdog-ui	CLI and TUI interfaces
taskdog-mcp	MCP server for Claude Desktop

Contributing

Contributions are welcome! See CONTRIBUTING.md for guidelines.

License

MIT License - see LICENSE for details.

Taskdog

README