Stores and retrieves user-specific facts, corrections, and preferences.
npx skills add https://github.com/emmahyde/memesis --skill learn-emmahyde
Please help me install this Agent Skill. Skill: learn Source: https://github.com/emmahyde/memesis/tree/main/skills/learn Command: npx skills add https://github.com/emmahyde/memesis --skill learn-emmahyde
This Skill enables users to instantly save specific facts, corrections, or preferences for future retrieval, reducing manual tracking and ensuring important insights are preserved.
Ask the AI to store a preference or correction by saying "remember this" followed by your observation, like "remember this I prefer SQLite for local projects."
High-intent search queries and answers about installing and using this skill.
You can store user preferences and facts for AI session continuity by asking the AI to remember specific details, which structures them into a retrievable format to preserve important insights and reduce manual tracking.
Contextual recall for correcting previous AI mistakes works by retrieving stored memories of past corrections to inform ongoing tasks. This ensures the AI applies previously saved feedback to avoid repeating the same errors.
Yes, you can save a specific correction directly into a retrievable memory format. By prompting the AI to remember the observation, it immediately structures the data for efficient future retrieval and personalized interactions.
The best way to remember project details like preferring SQLite for local projects is to say remember this followed by your observation, which instantly saves the preference for streamlined future interactions.
No, this memory storage approach does not require any external dependencies. It operates independently to facilitate quick, efficient, and organized memory management for consistent AI assistance across sessions.
jason-easyazzLearn from user corrections and preferences through explicit triggers and implicit signals.
mkalkereStore and retrieve contextual memories across AI sessions.
bree-jeuneStore user and project context in a GitHub-hosted Markdown document.
hffmnnjStore and retrieve persistent information across sessions with memory interfaces.
