Why Your Production Agents Can't Forget: Memory Decay, Recovery Patterns, and Long-Horizon...
Why Your Production Agents Can't Forget: Memory Decay, Recovery Patterns, and Long-Horizon Reliability
Paul Twist · July 6, 2026 · 6 min read
The Month-Two Wall
Agents work great for the first two weeks. Then something breaks.
The agent's Postgres session crashes. Your Lambda restarts. A scheduled deployment happens during an agent run. The repository connection times out mid-task.
Why persistent agent memory becomes a liability without proper governance infrastructure. Understanding memory confidence traps,…
Learn why long-horizon agents fail and how durable memory, checkpointing, and Redis Agent Memory keep agents running across hours…
A practical guide for builders to design agent memory stores with working memory, episodic logs, semantic facts, decay rules,…
Everyone building agents obsesses over recall: vector stores, embeddings, RAG pipelines, bigger...
A practical guest post about long-running AI agents, covering checkpointing, memory layers, governance, orchestration, A2A, and…
Three production-tested patterns for AI agent memory: structured logs, vector stores, and hybrid checkpointing.
