MemoryPilot: The Agent That Remembers, Chooses Tools, and Cuts Cloud Bills

Attendee notes from the Agentic AI Summit 2025 at Berkeley describing that agent systems are becoming practical but still early, with major progress on feedback-loop patterns (ReAct), modular communication protocols (MCP), and frameworks like CrewAI, LangGraph, LlamaIndex, and Goose. Key working areas include multi-agent orchestration, document analysis, and form-filling/coding agents, while major bottlenecks are durable memory, correct tool selection, evaluation/tracing, and high operational costs. Panels highlighted vendor perspectives (NVIDIA, OpenAI, DeepMind), emergent standards (Agntcy.org, FRAMES, Mozilla any-agent tools), and interesting demos in healthcare, agriculture, and automated optimizer generation. The author emphasizes that the focus has shifted from model scale to context management, infrastructure, and measurable evaluation, and invites others to share notes and practical experiences about what is breaking in multi-agent setups.