Open Source Skyvern Alternatives

Browser Use is a Python library that connects AI agents to real browsers. Instead of scraping static HTML or working through fragile selectors, agents get full control of a live browser session: they can click, type, scroll, fill forms, handle logins, and extract data from any site, including ones that require JavaScript to render.

It's built for developers building AI-powered automation workflows where the target website doesn't offer an API. Think automating research tasks, filling out multi-step web forms, pulling data from behind authentication walls, or running agents that need to navigate real-world web interfaces.

Key capabilities include:

• Multi-tab support so agents can work across several pages in a single session
• DOM extraction that gives the agent a structured view of what's on the page, not just a screenshot
• Vision support for pages where visual context matters
• Parallel agent execution for running tasks at scale across many browser instances
• Session persistence so agents can maintain state across steps, including cookies and login sessions
• LLM-agnostic design meaning you can wire it to OpenAI, Anthropic, or any other model you're using

Compared to tools like Skyvern or Crawl4AI, Browser Use sits closer to the developer-facing, programmable end of the spectrum. You define the agent's goal in natural language, and the library handles translating that into browser actions. There's no low-code UI; it's code-first and designed to be embedded in larger agent pipelines.

The project has broad adoption, with usage reported across Fortune 500 teams and a large open source community. It pairs well with agent frameworks and can be combined with Firecrawl when you need both structured crawling and interactive browsing in the same workflow.

Lightpanda is a groundbreaking headless browser built from scratch specifically for machines and automation. Unlike other solutions that modify existing browsers, Lightpanda was developed from the ground up in Zig, a low-level programming language optimized for performance.

Key benefits include:

• Superior Performance: 11x faster execution time and 9x lower memory usage compared to Chrome headless
• AI-Native Design: Purpose-built for AI agents and automation workflows with instant startup
• Efficient Scraping: Handles resource-intensive web scraping with minimal CPU and memory footprint
• Full Compatibility: Works with existing tools like Puppeteer and Playwright
• Easy Integration: Simple drop-in replacement for Chrome headless in existing code

The browser's focused architecture eliminates unnecessary rendering overhead while maintaining full web standards compatibility. This makes it ideal for high-volume automation, web scraping, and AI agent applications where performance and resource efficiency are critical.

ego (lite) is a Chromium browser designed to be used by both you and your AI agents at the same time. Instead of spinning up a separate headless browser that has no access to your logins, agents like Claude Code, Codex, or Cursor drive ego (lite) directly through a connection layer called ego-browser. They get your real cookies, sessions, and logged-in state from day one.

The core problem it solves: most browser automation for AI tools require a blank browser instance that has to re-authenticate to every service before doing anything useful. ego (lite) skips that entirely by sharing the same Chromium profile you already use daily.

Key capabilities:

• Spaces keep the agent's work isolated from yours. It runs tasks in its own workspace; your tabs stay untouched unless you hand one over.
• Parallel task execution lets multiple agents run separate automation jobs simultaneously, each in its own Space, without colliding.
• Batch JavaScript actions let an agent run several in-page steps in one pass rather than one tool call at a time, cutting token usage and finishing complex tasks up to 3.45x faster than comparable tools.
• Semantic snapshots are generated inside a custom Chromium engine, not a JavaScript shim. They reach into cross-origin iframes, shadow DOM, and third-party widgets like Stripe, Salesforce, and React portals that standard tools miss.
• Chrome migration imports your bookmarks, passwords, extensions, cookies, and tab groups in one click during onboarding.
• No login friction means agents never hit captchas, 2FA prompts, or SSO redirects, because they're already authenticated through your session.

Unlike Browserbase or Anchor Browser, ego (lite) is also your daily browser. You don't run it alongside Chrome; it replaces Chrome. Any agent that can invoke a shell command can drive it through ego-browser, with no SDK to integrate and no model lock-in. All browsing data stays local on your machine.

Steel gives AI agents and automation developers a way to run browsers in the cloud without managing infrastructure. It exposes a Sessions API that spins up on-demand browser instances, handles the messy parts of web automation (bot detection, CAPTCHAs, session state), and integrates with tools you're probably already using.

It's built for teams working on browser automation for AI: agents that book flights, scrape data at scale, fill forms, or interact with auth-walled sites. It also fits RPA pipelines, sales automation, QA testing, and foundational model training that requires real web data.

Key capabilities:

• Sessions API spins up browser sessions on demand, with average start times under one second
• Built-in CAPTCHA solving keeps automations running without manual intervention
• Proxy and fingerprint controls reduce the chance of being flagged as a bot
• Context management lets you save and reuse cookies and local storage across sessions, so agents can pick up mid-flow
• Long sessions run up to 24 hours per session
• Session Viewer lets you watch or replay live and recorded sessions for debugging
• Auto sign-in gives agents secure access to sites behind authentication
• One-line migration from local Puppeteer, Playwright, or Selenium to cloud sessions

Steel works with Python, Node.js, Puppeteer, Playwright, and Selenium. It has cookbook examples for pairing with Browser Use, OpenAI's Computer Use, and Claude's Computer Use, making it a practical backend for agent frameworks that need real browser access.

The project is open source. You can self-host it with Docker for local development or run it fully on your own infrastructure. The hosted cloud option is available for teams that don't want to manage the stack themselves, with a free tier included.

Browser Operator is an open-source, privacy-friendly AI browser that revolutionizes how professionals work on the web. Unlike traditional browsers, it integrates intelligent AI agents directly into your browsing experience, creating a powerful command center for research, analysis, and automation.

The platform features three core AI agents: Search Agent for finding citable sources across the web, Deep Wide Research for synthesizing content and providing insights, and Workflow Agent for automating repetitive tasks. These agents work seamlessly with your existing tools through MCP integrations, connecting Jira, Confluence, GitHub, Slack, G-Suite, and more.

Key capabilities include:

• Unified Memory System with context graphs that remember what matters across all enterprise tools
• Compliance Guardrails Engine with policy DSL, explain-before-act UX, and line-level audit logs
• Trusted Agent Runtime featuring deterministic scheduling, resource quotas, and multi-agent workflows
• Universal LLM Support for both local and cloud-based models
• Browser-native Integration where AI agents see and interact with your actual workspace

The platform addresses real professional needs: recruiters can source specialized talent across multiple platforms, VC analysts can build targeted startup lists, compliance officers can track regulatory changes, and operations managers can automate inventory notifications. With transparent guardrails and complete audit trails, Browser Operator turns regulatory compliance into a competitive advantage while maintaining the highest privacy standards.