Create categorized long-term memory storage with per-category INDEX.md files.
npx skills add https://github.com/zhanbei1/OpenOcta --skill memory-zhanbei1
Please help me install this Agent Skill. Skill: Memory Source: https://github.com/zhanbei1/OpenOcta/tree/main/src/skills/memory Command: npx skills add https://github.com/zhanbei1/OpenOcta --skill memory-zhanbei1
Infinite organizational memory is needed to extend the built-in agent memory with scalable, categorized storage, preventing memory fragmentation and data loss over time.
Create ~/memory/ with your chosen categories and add your first memory item to verify the system is live.
High-intent search queries and answers about installing and using this skill.
Organize long-term AI agent memory by creating a root ~/memory structure with infinite categorized storage. This prevents memory fragmentation and data loss by running parallel to built-in memory.
Create an index for categorized AI memory by adding per-category INDEX.md files within your ~/memory directory. This category-based indexing structures project histories and knowledge bases effectively.
Yes, you can optionally sync built-in agent memory with your categorized long-term storage. This synchronization expands decision trails and knowledge bases without bound while maintaining separation.
The best way to store expanding project histories is using an infinite categorized memory layer under ~/memory/. This approach scales structured decision trails and histories beyond built-in agent limits.
No specific framework is needed to set up scalable AI memory. You simply create the ~/memory directory with your chosen categories and add your first memory item to verify the system is live.
okbest2024Store and organize user-defined memory in a local ~/memory/ directory.
234194027-cpuOrganize long-term information into categorized markdown files under ~/memory/.
gula00Create custom categories for persistent long-term memory storage.
kaifashraffManage private on-device memory for AI agents with LanceDB and JavaScript embeddings.
