Context Management Context Save

This is a comprehensive framework for capturing and preserving project context across AI sessions. It handles everything from extracting architectural decisions to storing them in vector databases like Pinecone or Qdrant, with support for semantic embeddings and knowledge graphs. You'd use this when working on long-running projects where you need to maintain state between sessions or onboard new agents with full project understanding. The approach is impressively thorough, covering JSON schemas, compression strategies, and even context drift detection, though the actual implementation feels more like a well-designed spec than a ready-to-run tool. If you're serious about context management beyond simple markdown dumps, this gives you a solid architectural blueprint to work from.