Multi-On¶
What it is¶
Multi-On is an AI agent framework and API designed specifically for autonomous web navigation and interaction. It acts as a "motor cortex" for AI, allowing agents to perform complex tasks across any website using a combination of vision and DOM-based understanding.
What problem it solves¶
Standard LLMs cannot interact with the live web autonomously. Traditional web scrapers are brittle and cannot handle complex, multi-step workflows (like booking a flight or merging a PR). Multi-On provides the infrastructure to bridge LLMs with the browser, handling authentication, navigation, and interaction reliably.
Where it fits in the stack¶
Category: Agents / Web Automation
Typical use cases¶
- Personal Assistants: "Book me a table for two at 7 PM tonight."
- E-commerce Automation: "Find the best price for this monitor and add it to my cart."
- DevOps Automation: "Check the status of my latest PR and merge it if the tests passed."
- Data Collection: "Gather all recent news about generative AI from these five sources."
Strengths¶
- Autonomous Navigation: Can handle multi-step tasks across multiple domains.
- Vision Support: Uses visual grounding to interact with websites more like a human.
- Resilient Interaction: Self-healing capabilities to recover from navigation errors or UI changes.
- Scalable Infrastructure: Provides a managed API to run many agents in parallel.
Limitations¶
- Latency: Complex web interactions can take significant time.
- Cost: Managed API usage incurs costs based on interaction volume.
- Privacy: Requires trust as the agent performs actions on your behalf on the web.
When to use it¶
- When you need an agent to perform actions on the live web (not just read data).
- For complex, multi-step workflows that require navigating multiple pages.
- When you want to leverage a managed service for browser-based AI agents.
When not to use it¶
- For simple data extraction where a specialized scraper like Crawl4AI would be faster and cheaper.
- If you have strict requirements to run everything locally without external API calls.
Licensing and cost¶
- Open Source: No (Proprietary API)
- Cost: Paid (Usage-based pricing)
- Self-hostable: No (Managed service)
Getting started¶
Installation¶
pip install multion
Basic Usage (Python)¶
from multion.client import MultiOn
client = MultiOn(api_key="YOUR_API_KEY")
# Create a new session and browse to a site
response = client.browse(
cmd="Go to news.ycombinator.com and find the top story about AI",
url="https://news.ycombinator.com"
)
print(response.message)
API examples¶
Continuous Session¶
# Create a session
session = client.sessions.create(url="https://www.google.com")
# Perform an action in the session
result = client.sessions.step(
session_id=session.session_id,
cmd="Search for 'best laptop 2024' and click the first review link"
)
print(result.message)
# Close the session when done
client.sessions.close(session_id=session.session_id)
Related tools / concepts¶
- Stagehand — A library for resilient web automation built on Playwright.
- Browser Use — Another framework for browser-based agents.
- Skyvern — Open-source alternative for browser automation.
- Playwright — The underlying technology for many web automation tools.
- Crawl4AI — Optimized for web crawling and data extraction.
- Agentic Workflows — The broader concept of multi-step AI tasks.
Sources / references¶
Contribution Metadata¶
- Last reviewed: 2026-06-05
- Confidence: high