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LapuAi
Quiet
#3474 Radar 46

A desktop AI agent that automates computer work across apps and files.

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Product memo

Lapu AI serves as a desktop-native AI agent, differentiating from browser-based tools by offering direct access to local files, apps, and the terminal. This local-first, permissioned execution model aims to build trust and enable complex, multi-step task automation that goes beyond simple chat assistance, targeting users who need an agent to perform actions rather than just suggest them.

For who

Users automating repetitive desktop tasks

Solves what

Automates computer work across apps, files, and terminal with a desktop AI agent.

  • Desktop-native execution
  • Cross-app workflows
  • Intelligent task planning

In their own words

Desktop AI that does the work.

Lapu AI is a desktop agent that works through your desktop apps — so you stop doing the work that doesn't need a human.

Automates work across the tools your team already uses — right from your desktop.

CTA: Get started free

Commercial cues

Pricing snapshot subscription with free tier

Model

subscription

Free tier

Yes

Trial

Available

No public pricing tiers captured.

Pricing Strategy

Key Tactics
  • Free tier acts as a lead magnet for core agent capabilities
  • Usage limits and feature gating drive upgrades from Free to Max

Operator context

Operating setup

Founded

Jun 2026

Platform

Desktop

Audience

General

Market demand

LapuAi keyword demand

5 keywords

5 keywords
Upgrade to Starter

Market demand is Starter-tier market intelligence.

Derived from this product’s latest SimilarWeb keyword mix — directional demand, not proof.

Builder Strategy

Strategy Type
Niche Specialist
Stage
Vc Growth
Effort
Small Team
About LapuAi Expand

Lapu AI is a desktop AI agent designed to automate computer work by combining frontier AI models with local tools and permission-based execution. Unlike browser-based AI assistants, Lapu AI runs natively on macOS and Windows, providing direct access to your filesystem, running applications, and system-level workflows.

This local-first architecture ensures your files remain on your machine, with only relevant context sent to AI model providers for reasoning. The agent breaks down plain-language goals into executable steps, selects appropriate tools, and performs actions with your explicit approval, enabling users to automate repetitive tasks and complex cross-app workflows without constant tab-switching or manual intervention.