Voidzone

VOIDZONE is a persistent memory and continuity platform designed to make AI-assisted work portable across conversations and platforms. When people use AI assistants to build software, research ideas or develop projects, their conversations accumulate valuable knowledge: technical decisions, requirements, constraints, progress and important context. However, this knowledge often remains fragmented across separate conversations and AI platforms. Starting a new session can mean repeating explanations and reconstructing previous work. VOIDZONE addresses this problem by capturing AI conversations and transforming them into reusable project context. During the Meta Global AI Developer Hackathon, we developed a Meta AI-powered memory extraction workflow using Meta's Muse Spark model through the Meta Model API. The workflow extracts meaningful project information from captured conversations and uses it to generate a structured Continuity State. VOIDZONE also introduces two export formats: - Raw Conversation JSON: preserves the original conversation transcript. - Continuity Archive: combines the original transcript with the derived project context and restoration information. This enables users to preserve their work and carry relevant context into another AI session. Our vision is to build a continuity layer for AI assistants, helping people spend less time repeating context and more time building with AI.