Lapu AIDesktop AI automation

Lapu AI is a desktop AI agent for macOS and Windows that carries out tasks across local files, terminals, screens, and supported applications. Users describe a goal in natural language, while the agent breaks it into steps and operates Google Workspace, Microsoft 365, Notion, Figma, and other tools through their native controls rather than taking over the mouse and keyboard. It can organize files in bulk, run terminal commands, save workflows as reusable skills, and schedule recurring tasks. Lapu AI says files never leave the computer and that the software runs fully locally. It is free to start without a credit card, although public pricing details are limited.

freemium

desktop AI agentcross-app automationlocal AIworkflow automationmacOS AI toolsWindows AI toolsnatural language automationprivacy-focused AI

IndexedAugust 27, 2026

0.0 (0 Number of reviews)

Try Now

Lapu AI is a desktop AI agent for macOS and Windows. Instead of keeping the interaction inside a browser chat window, it runs on the computer and can work with local files, the terminal, the screen, and supported applications. The company says it operates applications through their exposed native controls rather than simulating mouse and keyboard input, so it does not take over the cursor.

Automation across desktop apps

The product is aimed at workflows that move information between applications. A natural-language instruction can ask Lapu AI to retrieve data from one tool, process it, and send the result to another without manually switching between tabs.

Google Workspace and Microsoft 365
Salesforce and HubSpot
Notion, Jira, GitHub, and Figma
Zoom, Stripe, Asana, Airtable, and Linear

It also supports bulk file organization, including searching by type, date, or content and renaming large numbers of files. Terminal commands can be run directly, including commands used to install dependencies. A floating Mini Chat window lets users start tasks without leaving the application they are currently using.

How tasks run

Lapu AI describes its approach as “driving applications, not the mouse.” The agent runs locally and uses controls exposed by macOS and Windows. It breaks a natural-language objective into ordered steps, selects tools along the way, and can pause for user approval when needed.

Workflows can be saved as reusable “skills” and scheduled to run automatically. The interface includes Agent Chat, Mini Chat, Workflows, Scheduler, and Calendar views, among others.

Platforms, privacy, and pricing

The company says setup takes less than two minutes, offers native macOS and Windows apps, and supports one-click removal. Its public pricing message is “free to start, no credit card required,” while a separate enterprise option is available. The privacy promise is that files never leave the computer, with Lapu AI emphasizing fully local operation.

That promise may appeal to people who regularly transfer information between desktop tools, but the public technical description remains limited. Lapu AI has not disclosed the specific advanced models it uses or how its permission controls are implemented. The practical results will depend on how well a real workflow performs on a supported platform.

Method: This page was prepared with AI assistance from the official site or repository, with key numbers automatically checked against that source. Features and pricing may change; verify them at the source. official product page

Pros & Cons

Pros

Cross-app automation can coordinate multiple tools from a natural-language instruction
Local operation is designed to keep files on the computer
Uses native application controls instead of taking over the mouse and keyboard
Free to start without a credit card

Cons

Platform support is limited to macOS and Windows
Specific model and permission-control details have not been publicly disclosed
Paid plans and pricing tiers are not clearly listed

Frequently Asked Questions

Which platforms does Lapu AI support?

Lapu AI officially supports macOS and Windows and is offered as a native desktop application for both platforms. The source does not list support for other operating systems. Users considering the tool should therefore confirm that their computer runs one of these two platforms before evaluating a workflow.

Does Lapu AI upload my data to the cloud?

Lapu AI says that files never leave the user’s computer and describes the product as running 100 percent locally. That is the company’s stated privacy commitment. However, the publicly available information does not explain the underlying model setup or provide detailed technical documentation about data handling and permission controls.

Is Lapu AI free?

Lapu AI is advertised as free to start and does not require a credit card at sign-up. The company also provides an enterprise information path, but its public pages do not clearly list paid tiers or specific pricing. Anyone assessing the product for ongoing or team use may need to request more details directly.

Explore More

Similar Tools

Yoxa.ai

Yoxa.ai is an Agentic AI workflow orchestration platform aimed at business users and everyday enterprise operations. It lets users describe a goal in natural language, then generates AI agent workflows that can be tested and deployed. The product organizes the process around three stages: creating a workflow, validating and retrying outputs, and deploying it for recurring tasks, with escalation to human review when needed. Yoxa.ai also positions itself as a system for producing business deliverables such as documents, presentations, and dashboards. Its website claims that some tasks can be reduced from weeks to minutes, including a concept-generation example that reportedly fell from six weeks to 20 minutes. Those figures and competitive claims have not been independently verified.

ChatVIA.ai

ChatVIA.ai is a no-code AI agent platform focused on EU hosting and GDPR compliance. Users can build agents from their own files, websites, question-and-answer pairs, and videos, then keep them synchronized as content changes. Through MCP servers and custom functions, agents can connect to more than 20 tools, including Slack, HubSpot, Salesforce, Gmail, and Google Calendar, to handle tasks such as meeting bookings, email sending, and ticket creation. A single agent can be deployed across Telegram, WhatsApp, Slack, Messenger, Microsoft Teams, and Instagram. The platform offers conversation analytics and a 14-day free trial, while detailed pricing tiers and some technical implementation information remain undisclosed.

Nuerova

Nuerova is an enterprise platform for turning team knowledge and operational experience into reusable AI assets. It combines persistent, isolated knowledge clusters with context-aware AI agents trained around real team workflows rather than generic prompts. A visual workflow builder supports automation with human approval gates, while role-based access control and tamper-resistant audit logs address governance and compliance needs. The Teams plan includes a seven-day free trial with no credit card required. Nuerova is aimed at organizations whose knowledge is spread across chat records, documents, and employee experience. Public information currently focuses on its positioning and enterprise features; the underlying models, deployment options, and full pricing structure have not been disclosed.

Nylas Agent Accounts

Nylas Agent Accounts gives AI agents their own hosted email addresses and calendars through a single API call. Instead of borrowing a person’s inbox or navigating a user-facing OAuth flow, an agent can operate under a dedicated identity for sending messages, checking availability, and scheduling meetings. The service is built on Nylas’ existing communications APIs and is positioned for workflows such as sales outreach, recruiting coordination, customer success, and appointment scheduling. Nylas also highlights enterprise compliance credentials, including SOC 2 Type II, HIPAA, ISO 27001, and ISO 27701. A free starting path is available, while larger deployments require contacting sales for pricing.

Merlin

Merlin is Encord’s new agentic layer for managing AI data workflows through natural-language conversations. Connected through the Model Context Protocol (MCP), it lets users work with Encord from tools such as Claude and Codex instead of repeatedly switching to a separate dashboard. Merlin can help create annotation projects, configure labeling workflows, inspect data-quality metrics, identify coverage gaps, and trace weak model performance back to specific samples. The product is currently in an early beta with access limited to selected customers, while Slack support is planned. Pricing and detailed performance information have not been announced, so teams should treat Merlin as an intriguing workflow experiment rather than a proven replacement for existing data operations.

ScopePilot

ScopePilot is an AI client-workflow tool for web agencies, digital marketers, freelancers, and creative studios. It gives clients a smart intake link, turns their answers into a structured project brief, and helps draft a proposal from the same information. The platform also covers scoping, pricing guidance, risk checks, and project handoff, giving small teams a more consistent process before production begins. A 14-day trial is available without a credit card, along with a free brief generator. ScopePilot is not a replacement for good client conversations, but it can reduce repetitive questioning and make unclear requirements easier to spot before they become expensive scope problems.

Open-source Alternatives

agent-device: Let AI Agents Control Mobile Devices via CLI

agent-device is an open-source command-line tool that empowers AI agents to directly control iOS and Android devices through a CLI interface. Built with TypeScript, it supports essential operations like taps, swipes, and text input, making it easy to integrate into automation workflows. It is ideal for developers and testers who need AI to interact with real mobile devices. The project is licensed under MIT and has 2916 GitHub stars as of collection time.

agent-sandbox: Manage isolated, stateful, singleton AI agent runtimes

agent-sandbox is an open-source project from Kubernetes SIG, designed to manage isolated, stateful, and singleton AI agent runtimes. Developed in Go, it offers declarative APIs and CRDs, simplifying agent deployment and operations. It is ideal for AI applications requiring long-running, persistent state, and has over 3100 stars on GitHub.

Omnigent: Open-source meta-layer framework for unifying AI agents

Omnigent is an open-source meta-layer framework that allows developers to seamlessly switch or combine AI agents such as Claude Code, Codex, and Pi without rewriting integration code. It offers policy control, sandbox isolation, and cross-device real-time collaboration. Written in Python and licensed under Apache-2.0, it had 2562 stars at the time of collection, making it suitable for development teams needing multi-agent coordination and streamlined AI workflows.

agent-squad: Open-source framework for orchestrating multiple AI agents

agent-squad is an open-source framework that orchestrates multiple AI agents, routing each user query to the right specialist across Python, TypeScript, and Swift. The primary language is Swift, licensed under Apache-2.0. As of collection time, it has 7671 stars on GitHub.

Activepieces: Open-source self-hosted Zapier alternative

Activepieces is an open-source, self-hosted automation platform that serves as a Zapier alternative. It offers over 280 integration pieces, native AI blocks, and an MCP server. The project is built with TypeScript and licensed under the MIT community edition.

MindsHub: Open-source unified workspace to delegate projects to AI agents

MindsHub is an open-source unified workspace where you can delegate entire projects to AI agents. It allows routing work to open or proprietary models, connecting your data, running agent harnesses like Anton and Hermes, and turning results into publishable apps. The project is MIT licensed and primarily uses Makefile.

Try Now