Maintain MEMORY.md indexes and structured notes for AI agent context.
npx skills add https://github.com/peteknowsai/swain-agents --skill memory-peteknowsai
Please help me install this Agent Skill. Skill: memory Source: https://github.com/peteknowsai/swain-agents/tree/main/sprite/skills/memory Command: npx skills add https://github.com/peteknowsai/swain-agents --skill memory-peteknowsai
This Memory skill provides a structured approach to knowledge management for AI agents, guiding what to remember, when to write, and where to store it so context can be loaded at session start and learning can be organized over time.
Initialize MEMORY.md and populate the memory index with key topics at the start of each session.
High-intent search queries and answers about installing and using this skill.
To maintain context for AI agents across sessions, use a structured MEMORY.md index that tracks confirmed facts, yearnings, and notes, allowing relevant memory files to be loaded at session start for rapid recall.
Organizing knowledge management notes for AI learning requires a structured notes directory paired with a frontmatter-driven MEMORY.md index, ensuring consistent memory tracking and efficient context retention over time.
To initialize a memory index at session start, create a MEMORY.md file and populate it with key topics using frontmatter-based YAML schemas to track confirmed facts, yearnings, and daily notes.
The dream cycle consolidation process treats yearnings as questions that eventually become confirmed memory entries, ensuring organized learning and consistent memory management across ongoing knowledge growth.
No specific dependencies or frameworks are required for memory indexing; the system relies on a frontmatter-driven MEMORY.md index, YAML schemas, and a structured notes directory to function independently.
A structured memory index may be unnecessary for single-session tasks or ephemeral interactions where long-term context retention, ongoing knowledge growth, and cross-session learning are not required.
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