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Really enjoyed and learnt a lot from Fridays class. Richmond shares a lot of resources, answers all the questions and sometimes goes beyond the remit to ensure everyone has learnt stuff and got value for their time and money. He has also been sharing his multi-month research effort with everyone at the class. Thanks Richmond and looking forward to the future ones.

Richmond breaks down the different types of memory, how agents can share context, and when to use a file system or a database. He also shows how vector search, RAG and reranking come together in a real memory pipeline. Great course!

Hi Richmond, Thank you so much for the event and for sharing your knowledge. The insights on memory and context engineering were fantastic. Looking forward to continuing learning and putting these caching and memory strategies into practice!

great summary session for a complex topic

Richmond is an expert on building memory aware agents. Loved his deepdive and breakdown of the modes of conversational agents - Assistant, Workflow and Deep Research and how agent memory plays a role in each of the modes. his work on github repositories is very helpful and fast track to learn how memory engineering is paramount