Context

Context is a personal memory layer that continuously records your screen, audio, and location so your agents can recall what you have seen, said, and heard. Key features: • 24/7 screen and audio capture • Location history tied to your activity • Searchable personal memory across your day • MCP integration so connected agents can query your context • Local-first control over what is recorded and shared. Context turns scattered moments into a searchable history. Instead of rebuilding details from memory, you can ask your connected tools what was on your screen, which meeting included a specific decision, or where a conversation took place. The MCP interface lets your agents read this history directly, so they can answer questions and pick up tasks with the context they need. You stay in control of your data, with privacy settings and the ability to decide which tools can access your history. Built for professionals, researchers, and knowledge workers who lose track of details across long days of meetings, browsing, and calls. It also suits anyone who wants a reliable personal record to support note taking, follow-ups, and recall, while keeping that record connected to the AI tools they already use.