Browser-Use on SoloSoft

AI Browser Automation: The Open-Source Ecosystem for Agentic Web Control

Fri, 01 May 2026 00:00:00 +0000

When a user attempted to find the GitHub repository at github.com/LvcidPsyche/auto-browser in early 2026, the response was a 404 page. Whether the project was renamed, removed, or never publicly hosted, one thing is clear: the concept it represented — an “auto-browser” — is very real, and the ecosystem around it is growing fast.

The term “auto-browser” broadly describes any system where an AI agent controls a web browser to complete tasks autonomously. Instead of a human clicking buttons, filling forms, and copying data between tabs, an AI takes the wheel. It reads the page, decides what to do, and uses browser automation frameworks like Playwright to execute actions — all without direct human intervention at every step.

Browser Use: Open-Source AI Agent Framework for Web Browser Control

Fri, 01 May 2026 00:00:00 +0000

Web automation has traditionally required rigid, brittle scripts. A Selenium test that fills out a form needs to know every element’s ID, class, and XPath. If the page changes even slightly, the script breaks. Browser Use takes a fundamentally different approach: instead of scripted instructions, it gives an LLM-powered agent control of a browser, letting it understand and interact with web pages the same way a human would.

Built on top of Playwright, Browser Use provides a Python framework that connects large language models to a live browser instance. The agent receives screenshots and page content, decides what actions to take (click, type, scroll, navigate), and executes them through the browser automation layer. This AI-native approach makes Browser Use dramatically more resilient to page changes than traditional automation tools.

Video Use: Open-Source AI Video Editing with Coding Agents

Fri, 01 May 2026 00:00:00 +0000

What if editing a video was as simple as telling an AI what you want, in plain English, and watching it happen?

No dragging clips along a timeline. No hunting through menus for color correction filters. No manually scrubbing through hours of footage to find the dead space. Just a conversation with a coding agent that understands video — cuts, colors, audio, subtitles, and all.

That is the promise of Video Use, an open-source project (currently at approximately 4,200 GitHub stars) that extends the browser-use ecosystem into video editing territory. Instead of an AI agent controlling a web browser, Video Use has an AI agent controlling FFmpeg, subtitle burners, animation renderers, and color grading pipelines — all driven by natural language prompts from agents like Claude Code, OpenAI Codex, Hermes, or OpenClaw.