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A local-first task manager for developers with a native CLI, optional Web UI, and local AI assistance powered by Ollama.

Project description

RazTodo

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A local-first task manager for developers with a native CLI, optional Web UI, and local AI assistance powered by Ollama.


Preview

CLI

Local AI assistance powered by Ollama

Web UI

CLI + optional Web UI powered by FastAPI


Why RazTodo

Most task managers are either web-first, cloud-dependent, or tied to a single interface. RazTodo keeps everything local while letting you manage the same tasks from a native CLI or an optional Web UI.

Highlights

  • 💻 Native CLI built for daily terminal workflows
  • 🌐 Optional Web UI backed by the same local database
  • 🤖 Local AI assistance powered by Ollama
  • 🗄️ Single SQLite database shared across all interfaces
  • 🔒 No cloud services, accounts, or telemetry
  • ⚡ Fast startup with zero background services

Architecture

CLI ─┐
     ├── Core Engine ─── SQLite
Web ─┘

Both the CLI and Web UI use the same core engine and SQLite database, so every interface stays synchronized automatically.

The architecture follows three design principles:

  • Separation of concerns core logic is independent of the user interface.
  • Local-first storage all data stays on your machine.
  • Composable interfaces use only the interfaces you need.

Quick Start

CLI

# Add a task
rt add "Prepare weekly groceries" --priority H --due 2026-12-31

# List all tasks
rt list

# Mark as done
rt done 1

# Search
rt search "groceries"

# Update
rt update 1 --title "Weekly groceries: milk, vegetables, essentials"

# Delete
rt remove 1

Web UI

Start the server:

rt-web

Then open http://127.0.0.1:8000.

[!NOTE] Runs locally only (not exposed to the internet) Single-user design with no authentication layer CLI and Web UI share one SQLite database (real-time sync) Local-first architecture optimized for personal use Built with FastAPI + lightweight static frontend AI-powered task explanations (Summary / Deep Analysis / Action Plan) via Ollama

Shell Completion

# Requires raztodo[completion]
eval "$(rt completion bash)"

Supports bash, zsh, and fish. For permanent setup see the Completion Guide.


LLM Integration

RazTodo integrates with Ollama to provide optional local AI assistance for your tasks. Every explanation runs locally using your own LLM, keeping your data private.

Available explanation modes:

  • --short — concise summary of the task
  • --plan — actionable step-by-step plan
  • --deep — detailed analysis and recommendations

Example:

rt explain 1 --short
rt explain 1 --plan
rt explain 1 --deep

[!NOTE] Requires Ollama with a compatible local model. All AI processing is performed locally.

📖 See the Explain Guide for installation, configuration, supported models, and usage examples.


Installation

# Recommended (pipx)
pipx install raztodo

# No-install (uv)
uvx --from raztodo rt

# Standard install
pip install raztodo

# Web UI (optional)
pip install "raztodo[web]"

# Shell completion (optional)
pip install "raztodo[completion]"

# Everything (web + completion)
pip install "raztodo[all]"

For virtual environment and source installation, see the Installation Guide.


Commands

Command Description Example
add Create a new task rt add "Task" --priority H
list List tasks with filters rt list --pending --priority H
update Update a task rt update 1 --title "New title"
done Toggle task done/undone rt done 1
remove Delete a task rt remove 1
search Search tasks by keyword rt search "keyword"
export Export tasks to JSON rt export backup.json
import Import tasks from JSON rt import backup.json
migrate Run database migrations rt migrate
clear Delete all tasks rt clear --confirm
completion Output shell completion script rt completion bash
explain Get an AI explanation of a task rt explain 1 --plan
rt --help
rt add --help

📖 See the Usage Guide for full command documentation.


Configuration

Variable Description Default
RAZTODO_DB Database filename or path tasks.db
LOG_LEVEL Logging level ERROR
export RAZTODO_DB="/path/to/custom.db"
export LOG_LEVEL="DEBUG"

[!TIP] 📖 See the Configuration Guide


Docker

docker build -t raztodo:local .
docker run --rm -it -v "$HOME/raztodo-data:/data" raztodo:local add "My first task"

[!NOTE] kept CLI-only to minimize image size and dependencies

[!TIP] 📖 See the Docker Guide


Documentation

Core:

Advanced:


Ecosystem

RazTodo is part of the RazBuild ecosystem of open-source developer tools.

  • RazTint Zero-dependency ANSI colors, icons, and terminal formatting utilities powering RazTodo's CLI output.

Contributing

We welcome bug reports, feature requests, and pull requests.

git clone https://github.com/razbuild/raztodo
cd raztodo
uv sync

Quality checks

uv run pytest
uv run ruff check src/ tests/
uv run ruff format src/ tests/
uv run ty check src/

Workflow

  1. Create feature branch
  2. Implement changes
  3. Ensure tests pass
  4. Submit PR

See the CONTRIBUTING guide for details.


License

License

Made by RazBuild

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