ARC-StreamMemory: Building a Local-First Visual Second Brain for AI-Readable Video Memory I’m building ARC-StreamMemory , a local-first visual memory system for AI-readable video, screen, snapshot, robotics, DAW/plugin, game, and app UI sessions. The goal is to turn visual activity into something an AI can inspect, replay, cite, verify, and attach to a module. Instead of treating video as a flat recording, ARC-StreamMemory turns it into a structured memory object: visual source → FFmpeg video/snapshot ingest → AI frame-speed schedule → frame hashes → seeded source spine → OCR-ready/event-ready timeline → AI digest → ARC-style receipts → OmniBinary-style chunk map → Arc-RAR-style bundle manifest → local source-spine viewer → AI module attachment JSON Enter fullscreen mode Exit fullscreen mode What ARC-StreamMemory does ARC-StreamMemory can ingest visual sources such as: video files screen recordings screenshots DAW/plugin sessions game footage browser workflows robotics camera feeds app UI states The output…