{"skill":{"slug":"agent-memory-succesion","displayName":"Umnix memory handling system","summary":"Provides structured, persistent AI agent memory across episodic, semantic, procedural, and relational types with Weaviate-based semantic search and successio...","tags":{"latest":"1.0.1"},"stats":{"comments":0,"downloads":95,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":2},"createdAt":1775402523611,"updatedAt":1775406709583},"latestVersion":{"version":"1.0.1","createdAt":1775403708578,"changelog":"**Summary:**  \nThis is now a conceptual skill—no direct memory storage/retrieval, only an overview of memory architecture for agents.\n\n- Skill clarified as a conceptual framework with no credentials, API access, or memory storage capability.\n- Documentation revised to emphasize that all actual memory operations occur on the Umnix platform.\n- Technical implementation details, storage schemas, and API examples removed.\n- Focus now on memory architecture principles, retrieval concepts, and best practices for agent knowledge management and succession.\n- Updated intended use cases and guidance for agent memory planning and organization.","license":"MIT-0"},"metadata":null,"owner":{"handle":"vickygujjar17","userId":"s17d0qadh03mgqr56edjst3kp583wqt0","displayName":"vickygujjar17","image":"https://avatars.githubusercontent.com/u/207051751?v=4"},"moderation":null}