Three-Layer AI Memory Architecture¶
March 3, 2026 · LinkedIn
11 reactions · 2 comments · 672 views
The Three Layers of AI Agent Memory Architecture
Jon Hammant built Claude History MCP. 757 reactions on the announcement. Stefan Christoph left the comment that reframed it:
"We have working memory, episodic memory, semantic memory. Maybe AI agents need the same."
That observation is more precise than it sounds.
Layer 1: Working memory — the context window. Volatile. Gone when the session ends. CLAUDE.md files are the common response. They help. They are still working memory, pre-populated. They do not touch cross-session knowledge.
Layer 2: Episodic memory — what Jon built. Session transcripts indexed and searchable in under 200ms. No LLM calls. 170 sessions in 9 seconds. Retrospective: what did we decide? What did we try?
Layer 3: Semantic memory — the structure of what exists right now. Knowledge graphs over code, documentation, regulatory frameworks. Present-state: how does the system connect? What changed since Tuesday?
Most teams run layer 1 only.
The 53–80% reduction in tool calls we measured across five AI agent framework repositories came from providing the semantic layer. Not a better model. A better map.
All three layers have tools you can deploy today. The missing piece is treating them as a system.
Full post https://lnkd.in/eprViuPz
Discussion¶
This is sooo good!!: This is sooo good!!
Totto ↩: Apreciated.. next "gift" https://wiki.totto.org/blog/2026/03/03/kcp-memory-give-claude-code-a-memory/