Agent memory

Technique · Agents · 4 items since Apr 2026

Storing and consolidating past interactions so agents can recall them in later work.

Trends

Sep 11
Procedural Graphs encode self-evolving agent procedures
Represents agent procedural knowledge as self-evolving procedure-relation-procedure graphs turned into step-level guidance, with an LLM refiner editing the topology from failed versus successful trajectories to match or surpass hand-designed workflows.
Aug 28
Google's WikiSkill co-evolves skills and knowledge
An agent framework that co-evolves executable skills with a persistent wiki-style knowledge base, separating raw experience, distilled knowledge, and skills; evolved skills transfer across model families, so smaller models with skills outperform larger ones without them.
Aug 8
LycheeMemory V2 batches agent memory by segment
Replacing per-turn memory consolidation with semantic segment-level batching reaches 89.22% on LoCoMo and 92.20% on LongMemEval-S while cutting memory-construction tokens by up to 86% versus A-Mem, without raising query-time cost.
Apr 18
Fudan's GenericAgent
A self-evolving agent that maximizes decision-relevant information within a sub-30K context using nine atomic tools, hierarchical on-demand memory, and verified trajectories crystallized into reusable SOPs and code, outperforming agents that consume 200K-1M tokens on task completion and web browsing.