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MultiOn

automation
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AI web agent that autonomously browses websites, fills forms, and completes multi-step online tasks from natural language instructions via browser extension or API.

MultiOn is an AI web agent platform that executes complex multi-step browser tasks autonomously from plain-English instructions - booking appointments, completing forms, scraping data, and navigating workflows without requiring Selenium code or RPA scripts. The platform combines a browser extension for interactive use with a developer API for embedding web automation into applications and LLM pipelines. MultiOn is built on a vision-language model that reads and interacts with web pages as a human would, handling dynamic JavaScript-rendered pages that traditional scraping tools cannot process. Backed by notable investors including Nat Friedman and Daniel Gross, MultiOn is used by developers building AI agents that require real-world web interaction capabilities.

#web-agent
#browser-automation
#autonomous-agent
#llm
#developer-tools
#ai-agents
Freemium

Free plan available

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multion.ai
Freemium
Pricing Model
Automation
Category
2023
Since
Free Plan
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Key Features

  • Natural language web task execution - describe a task in plain English and the agent completes it autonomously
  • Vision-language model that reads page layouts visually - works on JavaScript-rendered pages without DOM parsing
  • Multi-step workflow completion across login walls, multi-page forms, and dynamic checkout flows
  • Developer API for embedding web browsing capabilities into LLM applications and AI agent pipelines
  • Chrome extension for supervised interactive use where users observe and guide agent task execution
  • Task recording and replay for creating reusable automation scripts from single natural language runs
  • Session isolation for concurrent agent instances running parallel web tasks without interference

Use Cases

  • Developers building AI personal assistants that need to interact with web services without official APIs
  • Operations teams automating repetitive data entry and form submission workflows across web portals
  • Researchers collecting web data from dynamic pages that traditional scrapers and APIs cannot access
  • Product teams testing web application flows with AI-driven exploratory automation rather than scripted Selenium tests

Pros

  • Vision-based browser interaction handles dynamic JavaScript SPAs where traditional DOM-scraping tools fail completely
  • Natural language task definition eliminates Selenium/Playwright scripting for common web automation use cases
  • Developer API makes web browsing a composable capability for LLM agent pipelines - no infrastructure management required

Cons

  • Autonomous web tasks can fail on complex multi-step workflows - human-in-the-loop supervision recommended for critical tasks
  • Credit-based API pricing can become expensive for high-frequency or long web sessions with many page interactions
  • Legal and terms-of-service considerations vary per website - automated access violates ToS on some platforms

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