Serverless Memory DBs for AI Agents in 2025

The content analyzes the lack of memory in AI agents as an architectural, not data, problem, noting that the community is developing solutions. It proposes serverless memory databases to decouple storage from inference, allowing LLMs to focus on reasoning, while criticizing the inefficiency of inserting context into prompts.