Slowave adds adaptive memory layer for AI agents across sessions

Slowave, a GitHub project, addresses the problem that AI agents lose context between sessions by providing a living local memory layer. According to the project repository, agents with large context windows lose that context when opening a new session or switching tools, requiring users to restate earlier context. Slowave stores adaptive memory for codebase decision context across Claude Code, Codex, and other agent tools.