Show HN: CMV – strip up to 70% of Claude Code without losing any conversation (github.com)

A new tool called Contextual Memory Virtualization (CMV) has been introduced for Claude Code sessions, allowing users to retain and manage conversational context beyond the limitations of traditional session memory. CMV functions similarly to virtual memory in operating systems, enabling snapshotted states to be preserved, branched, or trimmed, effectively introducing version control for AI interactions. Through commands like snapshot, branch, and trim, developers can build an evolving hierarchy of sessions, optimizing their workflows by reusing accumulated understanding from previous interactions rather than starting anew each time. This development is significant for the AI/ML community as it addresses the challenge of maintaining contextual awareness within AI models like Claude, which can lose accumulated knowledge after the session ends. By efficiently managing token utilization—retaining essential interactions while discarding redundant information—CMV allows developers to streamline their collaboration with AI in complex coding tasks. This not only enhances productivity but also ensures that vital insights and architectural decisions are preserved for future use, fostering a more sustainable working relationship between humans and AI.