Claude-cobrain:Monitors screen 24/7 to build persistent memory for Claude Code (github.com)

Claude, a coding AI model, has introduced the claude-cobrain project, a macOS daemon that continuously monitors user screen activities to provide persistent memory of workflows. By recording the user's interactions, claude-cobrain can generate actionable summaries and insights, enhancing the user’s productivity. This initiative claims a significant 95% usability score for the actionable summaries provided, and it aims to catch unconsidered decisions in real-time, potentially doubling income through improved decision-making. The technical setup involves capturing screenshots of the active window using a local Vision Language Model (VLM) to analyze the content and append timestamped summaries to Markdown files. Users will need macOS, specific Python packages, and access permissions for screen recording and accessibility. With over 2 billion parameters, the deployed model processes information effectively to deliver constructive suggestions and work summaries. This project highlights a shift towards integrating AI more deeply into daily workflows, making AI tools not only reactive but also proactive in enhancing work efficiency and decision-making capabilities.