{"skill":{"slug":"ichiro-mind","displayName":"Ichiro-Mind","summary":"Ichiro-Mind: The ultimate unified memory system for AI agents. 4-layer architecture (HOT→WARM→COLD→ARCHIVE) with neural graph, vector search, experience lear...","tags":{"ai-agent":"1.0.0","ichiro":"1.0.0","latest":"1.0.0","memory":"1.0.0","neural":"1.0.0","unified":"1.0.0"},"stats":{"comments":0,"downloads":354,"installsAllTime":0,"installsCurrent":0,"stars":1,"versions":1},"createdAt":1772859825562,"updatedAt":1777526607382},"latestVersion":{"version":"1.0.0","createdAt":1772859825562,"changelog":"Ichiro-Mind 1.0.0 – Initial Release\n\n- Introduces a unified 4-layer memory architecture (HOT, WARM, COLD, ARCHIVE) for AI agents, supporting persistent, intelligent memory.\n- Features neural graph-based associative memory, semantic vector search, long-term archival, and real-time state management.\n- Includes automated memory routing, lifecycle management, contradiction detection, and experience-based learning.\n- Provides memory hygiene tools for deduplication, cleanup, and token optimization.\n- Offers Python API, CLI tools, and MCP integration for seamless setup and advanced usage.","license":null},"metadata":{"os":null,"systems":null},"owner":{"handle":"hudul","userId":"s176es762v60jddnq6cj9zdw9h83h7ra","displayName":"兵部尚书","image":"https://avatars.githubusercontent.com/u/11471362?v=4"},"moderation":null}