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browser-memory

Community browser skills for AI agents. Save time and token

Browser Memory enhances web agent performance with pre-built, reusable "Skills" for common website interactions. Key features include: • Reusable navigation and selector patterns • Community-driven Skill library • Reduces redundant website exploration • Decreases token consumption for agents • Improves browsing speed for web agents This platform eliminates the need for agents to repeatedly discover website structures. Instead of analyzing the Document Object Model (DOM) from scratch during each session, agents can download and execute pre-packaged Skills. These Skills encapsulate specific navigation paths, element selectors, and complete workflows for various websites, making agent interactions more efficient and economical. Browser Memory significantly cuts down on exploration time and reduces token usage across various browser-based agents, including those compatible with Claude Code, Codex, Cursor, and OpenHands. By providing persistent, per-site memory, it allows agents to go straight to the data they need, making web interactions substantially faster and more cost-effective. Ideal for developers and engineering teams building web agents who need to streamline operations, reduce operational costs, and accelerate data retrieval from popular sites like Airbnb, Amazon, GitHub, and LinkedIn. It provides a standardized and efficient method for agents to interact with the web.
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