Kalandar
Kalandar is a natural-language capture parser for tasks, reminders, calendar events, and low-signal thoughts. It is built around one capture-preview contract with JavaScript, Rust, and Swift/Core AI implementation paths.
Interactive demo
Try the capture parser
This demo calls parseCapturePreviewInput from Kalandar on the server and turns plain language into a structured preview before anything gets saved.
Parsing capture text.
- Kind
- Parsing
- Candidates
- Parsing
- Warnings
- Parsing
- Status
- Released product
- Date
- July 2026
- What it is
- A parser and runtime contract that turns messy capture text into a structured preview before anything becomes a task, reminder, calendar event, or thought.
- Why it was important
- It makes the first step of productivity software inspectable. You can write what you mean in plain language, review the structured result, and only then commit it into a real system.
- Architecture
- One capture-preview contract sits behind JavaScript, Rust and Swift/Core AI implementation paths, so the same plain-language input can be inspected in web, cross-platform native and Apple-native contexts.
- Access angle
- Capture should not require memorising rigid syntax before the idea is even saved. Kalandar treats plain language as the input surface and structured preview as the accessibility layer.
- Role
- Product design, architecture, implementation, documentation, release and demo design.
- Tools used
- TypeScript, Rust, Swift, Core AI, Codex and Claude Webapp.
- Links
- GitHub repository and v0.1.2 release