About this project
Tisty is a free, open-source productivity application designed for personal use on Windows and macOS. It distinguishes itself by treating tasks not just as items to be completed, but as records of work that retain their context, steps, and associated documents even after completion. The application is built with Rust and Tauri, offering a native performance experience while keeping the footprint small.
Key features include:
- **Local-First Data**: All notes, documents, and tasks are stored as plain text and Markdown files directly on the user's disk. There is no cloud storage, server requirement, or account needed. This ensures that data remains accessible via standard tools like `cat` and `grep`, and survives beyond the app itself.
- **Task Management**: Unlike traditional to-do lists that discard completed items, Tisty archives finished tasks along with their full history, including journal entries, steps taken, and attachments. Users can organize tasks using the Eisenhower Matrix (Do, Schedule, Delegate, Drop) rather than simple numbered priorities.
- **Document Handling**: Documents are treated as first-class citizens alongside tasks. They support rich Markdown formatting, including tables, code blocks, Mermaid diagrams, and math formulas. Documents can be tagged and searched within the same interface as tasks.
- **Natural Language Input**: Tisty includes a parser that understands natural language dates and deadlines (e.g., "tomorrow at 10", "before Friday") and automatically extracts them into structured metadata without altering the readability of the text.
- **AI Integration via MCP**: While Tisty contains no internal AI or telemetry, it exposes an MCP (Model Context Protocol) interface. This allows external AI assistants to interact with the user's local data—such as filing new tasks or retrieving information—without sending data to the cloud.
- **Privacy and Freedom**: The software is released under the AGPL v3 license. It collects no telemetry, has no subscription tiers, and does not sell user data. It is intended for individual users; team collaboration features like shared boards or permissions are explicitly out of scope.
Installation is available via the Microsoft Store for Windows and Homebrew for macOS, with direct downloads provided in GitHub releases.
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