Context-aware Computing

Event Core Screenpipe (YC S26) has launched an open-source, 24/7 screen and audio capture tool that leverages locally stored, high-fidelity workflow data to provide AI agents with the persistent context they currently lack. Bagua Insight ▶ Beyond Recording to Execution: The true value of Screenpipe lies not in the capture itself, but in transforming unstructured pixel and audio data into machine-readable context. It effectively bridges the gap between raw human activity and actionable AI-driven automation. ▶ Privacy as a Moat: By prioritizing local-first storage, Screenpipe addresses the primary friction point for enterprise AI adoption: trust. It positions itself as the infrastructure layer for 'on-device' intelligence, bypassing cloud-privacy concerns. Actionable Advice Developers should pivot toward building vertical-specific automation plugins on top of the Screenpipe API. Enterprise leaders should evaluate these tools for workflow optimization while simultaneously establishing robust data governance policies to manage the sensitive telemetry generated.