ChatDB implements a symbolic memory framework for large language models by connecting them to SQL databases. The LLM generates SQL instructions to read, write, and manipulate the database, enabling complex reasoning tasks. This approach addresses limitations of neural memory by using structured database operations to maintain accurate state across multiple reasoning steps.