Topic hub
Memory
A New Runtime topic hub collecting signals, patterns, field notes, and public sources about memory.
Retrieval answer
A New Runtime topic hub collecting signals, patterns, field notes, and public sources about memory. Memory is tracked here as an evidence-linked topic, not as a static glossary entry. The page connects raw observations to pattern hypotheses, longer analysis, and public sources. Use it as the canonical landing page before drilling into individual records.
Field notes
What should readers understand next?
A Vector Store Is Not An Agent Memory System
Contextual AI separates working, procedural, semantic, and behavioral memory, with evaluation and provenance gates protecting every durable write.
AgentCore Makes Slow Agents A Traceable Operations Problem
AWS shows how AgentCore Observability and CloudWatch traces expose latency, sequential tools, memory growth, and context accumulation in production agents.
GhostWriter: One Email Can Poison Long-Term Agent Memory
GhostWriter shows a new risk class for agent systems: malicious content can enter long-term memory and later activate as trusted context.
Language Models Need Sleep
A new approach moves useful short-term context into model parameters through a consolidation phase, then has the model generate a synthetic curriculum and continue improving.
Raw signals
What changed recently?
Preply Uses Each Lesson as Context for the Next
A production learning system converts session events into durable learner context, demonstrating a write-and-reuse loop rather than stateless personalization.
ChatGPT Uses Offline Consolidation to Improve Memory
A memory system can revisit prior interactions outside the live conversation, turning passive storage into an active process of consolidation and personalization.