
Desktop AI agent that automates work across apps and files locally.
By Tanmay Verma, Founder · Last verified 06 Jul 2026
In short
Lapu AI — Desktop AI agent that automates work across apps and files locally. Best for Busy professionals juggling multiple desktop apps, Power users who need to automate repetitive file and terminal tasks, Teams looking to share reusable workflow automations. Free to start; paid plans from $20/mo.
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Lapu AI delivers on its promise of a truly desktop-native AI agent that executes real work across files and apps. Its local-first, permission-gated design addresses key privacy concerns that cloud agents ignore. However, the free tier's limited usage and paid gate on scheduling may frustrate power users on a tight budget.
Last verified: July 2026
Across the latest 10 updates: 9 feature updates and 1 news mention.
Lapu AI can edit, format, summarize, and rewrite local .docx files that Copilot cannot access.
Three ways to use AI in Excel: Copilot, web widgets, and a desktop agent reading local .xlsx without upload.
Explains how desktop sandboxing isolates autonomous agents from the real machine vs cloud sandboxing.
Details the screenshot-plan-act loop, accessibility-tree control, permissions, and desktop runtime.
Claude Mythos 5 and Fable 5 launch; bigger models alone do not act on the machine — desktop agents still needed.
Extract tables from PDFs into .xlsx with permission, no upload required.
Desktop agent drives the real OS; browser agent clicks inside a cloud tab.
On-device AI runs locally; cloud still wins for certain tasks in 2026.
Extract data from PDFs locally, keeping documents off vendor servers.
Compares 7 desktop AI agents by runtime location — native, cloud, container, browser, CLI.
How likely is Lapu AI to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Lapu AI is a desktop-native AI agent designed to automate complex workflows across the applications and files you already use. Unlike browser-based AI tools, it runs directly on macOS and Windows, giving it direct access to your filesystem, running applications, and system APIs. This allows it to perform actions like organizing files, running terminal commands, and interacting with desktop apps without requiring any copy-pasting or tab-switching. It handles local files—including .docx, .xlsx, and PDFs—for editing, formatting, summarizing, and data extraction, without uploading them to the cloud. The tool is built for professionals and teams who juggle multiple tools daily. It excels at cross-app workflows—pulling data from one app, processing it, and pushing results into another—all from a single prompt. Its mini-chat feature stays on top of your screen, so you can invoke the agent from any application without leaving your current context. Lapu AI operates on a permission-based, local-first architecture. Sensitive actions like file writes or shell commands require explicit user approval. Files and data remain on your machine; no cloud storage is used. Only relevant context is sent to AI model providers when reasoning is needed. This makes it a private and secure alternative to cloud-based assistants. Key differentiators include its seven views (Agent Chat, Mini Chat, Workflows, Editor, Scheduler, Calendar, Settings), its ability to package workflows into reusable skills that can be scheduled, and its native integration with major platforms like Google Workspace, Microsoft 365, Salesforce, and more. It is free to start with no credit card required, and paid plans unlock higher usage, scheduling, and priority execution.
When you need an agent that actually touches your local files—editing a .docx that Copilot can't see, extracting tables from a PDF into Excel without uploading it—Lapu AI is the clear pick. The local-first architecture means your documents never leave your machine, which is a big deal for compliance-sensitive work. The mini-chat overlay is genuinely useful: you can summon it over any app without breaking flow. Where it bites is the free tier's very limited usage. You'll feel the cap quickly if you run multi-step workflows daily. Scheduling, a core productivity feature, is gated behind the Premium plan at $20/month, which might push you to upgrade sooner than you'd like. And if your team needs SSO, you're looking at the Enterprise plan with custom pricing—no middle ground. Compared to browser-based agents like Operator, Lapu AI can drive the real OS instead of a cloud tab. That means it can rename files, run shell commands, and interact with thick-client apps like Excel desktop. But it also means you're tethered to a single machine—there's no web or mobile access. If you need an assistant that follows you between devices, look elsewhere. In practice, the permission prompts for every sensitive action—file writes, shell execution—are a double-edged sword. They keep you safe but can slow down rapid workflows. You can't set it fully autonomous. For personal productivity and small-team automation on a trusted machine, it's hard to beat. For large-scale unattended automation, you'll want an enterprise-grade orchestrator.
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