LLMs as Operating Systems: Agent Memory

Learn how to build agentic memory into your applications in this short course, LLMs as Operating Systems: Agent Memory, created in partnership with Letta, and taught by its founders Charles Packer and Sarah Wooders. An LLM can use any information stored in its input context window but has limited space. Using a longer input context also costs more and causes slower processing. Managing this context window and what to input becomes very important. Based on the innovative approach in the MemGPT research paper “Towards LLMs as Operating Systems,” its authors, two of whom are Charles and Sarah, …