The Hidden Trap of MCPs: Federated vs. Indexed Architectures in AI Agents The standardization of the Model Context Protocol (MCP) has democratized how we connect our Large Language Models (LLMs) to the real world. With just a few lines of code, an agent can read repositories, query databases, or search Google Drive. It would seem…
Anthropic’s “Dreaming” Revolution Until very recently, the biggest challenge in Artificial Intelligence was getting a model to remember something from one prompt to the next. Today, with massive context windows, the problem has inverted: autonomous agents remember too much. When you leave an AI agent running for days—reading emails, executing code, browsing the web—its memory fills…