Automation

Slapify

AI-powered browser automation that slaps — run autonomous agents, audit performance, and write E2E tests in plain English.

npx slapify init

View on npm GitHub Docs

0.0.18

Latest version

2K+

Weekly downloads

Modes

How it works

Three modes, one engine

Task mode

Launches an autonomous AI agent that plans, navigates, and executes browser tasks end-to-end. Point it at a URL, describe the goal, and let it work.

Autonomous multi-step planning
Screenshot-driven reasoning
Auto-generated HTML reports

Run mode

Executes .flow files — natural-language test scripts that describe user journeys step by step. Think Playwright, but written in plain English.

English-first .flow format
Sequential step execution
CI/CD-friendly exit codes

Programmatic mode

Import Slapify as a Node.js library to run audits, interact with the browser agent, and integrate deeply into your own CI/CD tools or TypeScript applications.

TypeScript native SDK
Full Playwright BrowserAgent access
Customizable auditing metrics

Quick start

Up and running in seconds

Install globally with npm, set your LLM provider key, and launch your first autonomous audit or flow test.

CLI Usage

# Install
npx slapify init

# Run an autonomous browser agent
slapify task "Summarise the top posts on x.com today" --report

# Execute a .flow test suite
slapify run tests/checkout.flow --report

Node.js SDK

import { runPerfAudit, BrowserAgent } from "slapify";

const browser = new BrowserAgent();
await browser.launch();
const result = await runPerfAudit("https://slaps.dev", browser);
console.log(result.scores);

Highlights

Built for real workflows

Built-in performance auditing with Lighthouse-style metrics on every run.

Rich HTML reports with screenshots, timing, and pass/fail status per step.

LLM-provider agnostic — bring OpenAI, Anthropic, or any compatible API.

One CLI for both autonomous tasks and scripted test flows. No context switching.