Show HN: Auto-cleanup for Claude Code's orphan process memory leak (github.com)

A new automated cleanup solution has been developed for managing memory leaks caused by orphan processes in Claude Code, an AI tool that utilizes subagents and MCP servers for each user session. When sessions terminate, especially due to crashes, the processes can become orphans, leading to significant RAM wastage — sometimes accumulating to over 7 GB throughout a day. The cleanup solution offers several management options, such as immediate process termination after a normal session end or a scheduled scan every 30 seconds to eliminate orphaned processes. This development is significant for the AI/ML community, particularly for macOS and Linux users of Claude Code, where memory management is critical in maintaining performance and resource efficiency. The proposed solution, found in a GitHub repository, consists of automated scripts and a daemon configuration aimed at efficiently terminating orphaned processes. Users can easily integrate the cleanup tool into their systems with straightforward installation steps, enabling them to monitor and control memory usage effectively, thus enhancing the overall user experience of Claude Code.