Taskdog

A task management system with CLI/TUI interfaces and REST API server, featuring time tracking, schedule optimization, and beautiful terminal output.

Designed for individual use. Stores tasks locally in SQLite database.

https://github.com/user-attachments/assets/47022478-078d-4ad9-ba7d-d1cd4016e105

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

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.

From PyPI

pip install taskdog-ui[server]

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

Usage

taskdog add "My first task" --priority 10
taskdog table
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.)
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

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