From Theory to Production: Mastering the Full Memory Pipeline of Modern AI Agents

The article explains why stateless LLM calls require a structured memory system for AI agents, describes four memory types, a five‑stage pipeline, design patterns, common pitfalls, and provides a detailed production architecture with performance numbers and code examples.

AI agentsKnowledge GraphLLM

0 likes · 23 min read

From Theory to Production: Mastering the Full Memory Pipeline of Modern AI Agents

PaperAgent

Mar 3, 2026 · Artificial Intelligence

How CharacterFlywheel Scales Engaging LLMs: 15 Iterations of Production Optimization

The article presents CharacterFlywheel, a 15‑generation flywheel methodology that iteratively improves social‑dialogue LLMs in production using data‑driven reward models, rejection sampling, and a mix of SFT, DPO, and RL, with detailed experiments and best‑practice insights.

AI safetyLLM optimizationReward Modeling

0 likes · 12 min read

How CharacterFlywheel Scales Engaging LLMs: 15 Iterations of Production Optimization