How Mastra’s Observational Memory Beats RAG for Long‑Running AI Agents
As AI teams move from experimental chatbots to production-grade, tool-using agents that run for weeks or months, retrieval-augmented generation (RAG) is starting to show its limits. Latency, retrieval complexity, and unstable prompts are colliding with real-world requirements like predictable costs… Read More »How Mastra’s Observational Memory Beats RAG for Long‑Running AI Agents