Capture, then clarify
Put an idea down immediately. Natural-language parsing recognizes common dates, durations, and tags while keeping every detail editable.
Local-first
Your work stays responsive
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Human
Review before AI adds work
2
Live deployments
OSS
Open source
What's inside
A workspace that lowers the temperature
No guilt loops, no misleading save states, and no automatic AI changes. Every feature earns its place by reducing mental overhead.
Make the next step smaller
Use focused time and energy views, deterministic templates, or an opt-in AI preview. Review, edit, select, or discard every proposed step.
Reliable by design
Local-first persistence, truthful sync states, undo, row-level permissions, and atomic task-plan acceptance keep work understandable when conditions are imperfect.
How it works
From a thought to a next step
A deliberate flow that makes room for concentration instead of adding another system to maintain.
Capture before context-switching
Save the thought while it is fresh. Use the sample workspace to explore the flow before creating an account.
Choose a realistic window
Set the time and energy you actually have. The Now workspace surfaces work that can fit, rather than making every task compete for attention.
Deconstruct only when needed
Broad work becomes an editable sequence of smaller actions. The optional AI preview is consent-based and never changes a task without review.
Keep the record honest
Sync, share, search, attach context, review progress, and undo a mistake. The workspace shows what is local, saving, synced, or needs attention.
Try the idea
Touch the workflow before you commit
The live sample is intentionally safe: check off fictional tasks, watch progress change, and decide whether this way of working fits you. Nothing is saved.
tasks.ai-aarti.com/sample
Interactive sample
See a calmer next step.
Complete fictional tasks in a private browser-only preview.
Common questions
A clear answer before you begin
What is Task-Laureate?
Task-Laureate is a free, open-source, privacy-minded task workspace for turning broad work into a clear next action. It supports capture, lists, priorities, due dates, notes, dependencies, focused execution, progress review, and deliberate collaboration.
Is Task-Laureate free and open source?
Yes. Task-Laureate is free to use, and its source code, documentation, migrations, and operating guidance are available on GitHub.
Does Task-Laureate use AI to change tasks automatically?
No. Its optional AI task-decomposition preview is consent-controlled, produces an editable proposal, and never changes a task without human review.
Can Task-Laureate work locally?
Yes. Task-Laureate is designed around a local-first workspace and can also use account-scoped Supabase sync when configured.
"I did not need a louder dashboard. I needed a calm place to put down every moving piece, see what mattered next, and trust that I would not lose it. Task-Laureate is built for that moment: when attention is scarce, but the work still matters." — Aarti S Ravikumar, creator · ai-aarti.com
Explore implementation and deployment details
Built on
A modern, inspectable stack
Every dependency earns its place. The implementation, migrations, quality gates, and operating guidance are open to inspection.
React 18
TypeScript
Vite
TanStack Router
TanStack Query
Supabase
PostgreSQL + RLS
Vitest
Vercel Functions
Gemini preview adapter
Puck editor
Vercel
Live now
Two public deployments
Two routes to the same product. The primary app is where work happens; this page is its public, open-source introduction.
Make room for the work that matters.
Start with one thought. Leave with one clear next action.