Agent OS LLM OS Micro Architecture for Composable, Reusable AI Agents
AI Summary
In this video, the speaker discusses the architecture of AI agents, specifically introducing the concept of the ‘Agent OS’ as part of the larger ‘LLM OS’ framework. The video aims to simplify the complex architecture needed for building AI agents into three core components: the Language Processing Unit (LPU), Input/Output (IO), and Random Access Memory (RAM). The LPU incorporates model providers, models, prompts, and prompt chains which serve as the backbone for creating effective AI agents. The IO allows agents to interact with the outside world, while RAM is crucial for managing state and inputs. The speaker emphasizes the importance of composability and reusability in architecture to enable the quick swapping of components as technology evolves. Additionally, the video explores the need for self-improvement mechanisms in AI agents, a crucial missing piece in current architectures. Ultimately, the video illustrates how the Agent OS can enhance the effectiveness and scalability of AI applications.