agent-memory-system

SKILL.md

agent-memory-system provides persistent memory architecture enabling AI agents to remember across sessions, learn from experience, and build long-term knowledge.

Pattern: Capabilities-based (4 memory types with independent operations)

Key Innovation: Multi-layered memory architecture (episodic, procedural, semantic, short-term) enabling agents to learn and adapt over time

Persistent memory architecture for AI agents across sessions. Episodic memory (past events), procedural memory (learned skills), semantic memory (knowledge graph), short-term memory (active context). Use when implementing cross-session persistence, skill learning, context preservation, personalization, or building truly adaptive AI systems with long-term memory. Source: adaptationio/skrillz.

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