MeMex

MeMex is designed to give Mac users a private visual memory, transforming screen activity into an organized timeline of work moments. It allows users to easily recall and search through past tasks, applications, and content, making it an invaluable tool for anyone who struggles with information recall or managing digital workflows. The primary purpose is to provide a seamless and private way to access and understand one's own digital history. The problem MeMex addresses is the common frustration of forgetting where specific information or work was located on a computer. In today's digital environment, work is often fragmented across numerous applications, browser tabs, documents, and communication platforms. Traditional methods like bookmarks or notes only capture what users actively remember to save, leaving a significant gap in easily accessible work history. This leads to wasted time searching for lost information, decreased productivity, and a general feeling of disorganization. MeMex's core functionality revolves around creating an organized timeline of screen activity. This timeline captures when specific actions occurred, which applications were used, and the context of the activity. Users can then return to specific moments without manual organization, effectively retrieving past work. A key feature is the ability to ask plain-English questions, such as "What did I fix before shipping?", with answers linked to replayable screen evidence, ensuring users can not only find information but also understand the context in which it was found. Beyond simple recall, MeMex offers automated reporting and insights. It generates daily and weekly reports that summarize the work already performed, providing users with an overview of their productivity without manual effort. Furthermore, the "Pattern Insights" feature identifies repeated work patterns, suggesting opportunities for automation or the creation of reusable AI or agent playbooks. This moves beyond simple memory recall to proactive workflow optimization. Privacy is a central design principle for MeMex. All recordings are stored locally on the user's Mac in a location they control, ensuring sensitive data never leaves their machine by default. AI analysis is optional and can be configured to use the user's own provider or a compatible local endpoint. Before any data is shared for third-party AI analysis, MeMex clearly explains what will be sent and requires user permission, maintaining a high level of user control over their data. MeMex operates by capturing screen activity and processing it into structured "timeline cards." These cards contain titles, summaries, detailed observations, application/site context, and timestamps. The search functionality works by querying these locally indexed timeline cards, rather than rescanning raw recordings, ensuring speed even with extensive history. When a user asks a question, MeMex parses the query locally, ranks matching cards, and then sends only the relevant text and metadata to the configured AI model to compose an answer. This approach prioritizes local processing and user privacy. The benefits for users include significantly reduced time spent searching for information, improved recall of past work, and a clearer understanding of their own digital activities. By automating reports and identifying workflow patterns, MeMex helps users become more productive and efficient. The emphasis on local storage and optional AI processing provides peace of mind for privacy-conscious individuals and organizations. Concrete use cases for MeMex include quickly finding a specific file or window that was open hours ago, recalling the steps taken to fix a bug, or reviewing the context of a previous research session. Developers can use it to retrace debugging steps, designers to revisit design iterations, and writers to find specific research snippets. Any professional who works across multiple applications and needs to recall past digital interactions can benefit. MeMex is available for macOS as a one-time purchase. The product is targeted at individuals and professionals who value privacy and need a robust system for managing their digital memory. While specific integrations are not detailed, the AI analysis can utilize user-configured providers, suggesting flexibility in how it connects with other AI services. The core technology appears to be focused on local data processing and analysis. In summary, MeMex offers a powerful, private, and searchable visual memory for Mac users, transforming screen activity into an organized timeline that can be queried with natural language, while prioritizing user control over data and AI processing.