Anthropic Engineering: Components of Agent Memory — Dreaming to Organize Notes, Fix Errors, and Preload Context
On 2026-11-06 Anthropic published The components of agent memory, covering in-session memory notes plus offline dreaming (fix notes against transcripts, build wikis, promote hierarchy). It reports CL-Bench, Pokemon, and internal-corpus wiki evals; @AnthropicAI amplified. Engineering methods post, not a product GA.
Key Takeaways
- Source: Anthropic Engineering The components of agent memory (2026-11-06) + @AnthropicAI
- Core: memory notes in-session plus dreaming offline to fix notes, build wikis, and preload top-layer memory
- Evals: on CL-Bench DB tasks Opus 5+ closes the learning loop; in Pokemon Fable 5's 9 files beat Sonnet 3.7's 413-file archive
- Wiki: on ~350k internal docs, dreaming 2 to 128 sessions lifted 25-question scores ~13% to ~48%; search+wiki ~61% vs search-only ~53%
- Practice: Claude Code auto memory injects only first 200 lines or 25KB of MEMORY.md; methods post, no new public API announced
Linked Models & Agents: