Creates a persistent, categorized, unlimited memory system complementing built-in recall.
npx skills add https://github.com/openocta/openocta --skill memory-openocta
Please help me install this Agent Skill. Skill: Memory Source: https://github.com/openocta/openocta/tree/main/src/embed/skills/memory Command: npx skills add https://github.com/openocta/openocta --skill memory-openocta
This Skill provides an unlimited, organized, and persistent memory system that complements an agent's built-in memory, ensuring no information is ever lost and all data is easily retrievable.
projects/ category to house all this information, ensuring it's perfectly organized and accessible months or years later.Set up the memory system by following the instructions in the setup.md file.
High-intent search queries and answers about installing and using this skill.
Store and organize long-term project notes by defining custom categories for structured data storage. This creates a dedicated section ensuring all research findings and decisions are perfectly organized and easily retrievable months or years later.
Persistent memory storage works in parallel with an agent's built-in memory. This complementary system operates alongside existing memory to enhance recall without conflict, ensuring no information is lost.
Categorize knowledge for structured data storage by defining custom categories like projects, people, decisions, or knowledge. This allows you to house related information together for seamless organization and retrieval.
You can store vast amounts of information without performance degradation. This unlimited storage system ensures no information is ever lost while maintaining an infinite, organized structure for data persistence.
Set up an infinite organized memory system by following the instructions provided in the setup file to initialize the environment. This establishes the persistent storage structure that complements your existing agent memory.
You need an external memory system for knowledge management when working on long-term projects requiring detailed notes, research findings, and decisions to be stored. It prevents data loss and preserves information beyond built-in limits.
nedaktov-opsInitialize a MemPalace workspace with a ChromaDB backend and project scaffold.
bychrisrStore and retrieve agent knowledge in markdown and yaml files using PARA.
zilliztechStore and retrieve past chatbot conversations across sessions using vector memory.
Sir-chawakornManage AI context and memory persistence using structured markdown files.