OpenAI's recent developer day unveiled the Assistants API and GPTs, both aimed at advancing applications towards a specific "agent" cognitive architecture. These technologies embody OpenAI's ambition to create transformative, agent-like systems. While LangChain sees potential in such architectures, it emphasizes the importance of customizable, open systems, as evidenced by its OpenGPTs project, which offers an open, configurable alternative to OpenAI's closed systems. The Assistants API is developer-focused, allowing users to control tools client-side, while GPTs offer a no-code approach to creating custom "GPTs." Despite the promise of these innovations, OpenAI is betting on overcoming the current reliability issues associated with agent architectures. This bet is contrasted with other applications like GPT-Researcher and Sweep.dev, which use complex chains or state machines to maintain control and performance. The discourse around open vs. closed cognitive architectures is gaining traction, with LangChain advocating for open systems to ensure flexibility and control, which are crucial for developing robust, scalable applications.