Agent Memory Systems

Memory systems are where agent architectures get real. This skill breaks down the three-layer approach: semantic memory for facts and preferences, episodic for timestamped experiences, and procedural for learned patterns. The tooling coverage is practical, comparing Pinecone's enterprise scale against ChromaDB for prototyping, with honest latency numbers and cost tradeoffs. The core insight holds up: retrieval quality matters more than storage quantity, which is why the chunking and embedding strategy sections matter. Built on the CoALA cognitive framework, so the terminology is consistent even if the broader field isn't. If you're building agents that need to remember across sessions, this covers the architecture decisions you'll actually face.

Install to Claude Code

npx -y skills add sickn33/antigravity-awesome-skills --skill agent-memory-systems --agent claude-code