Agent Memory and Storage

Where an agent keeps things and how it remembers. These pages separate the layers that get conflated: the conversation context an agent carries in a session, the durable memory it reads back later, the vector index it searches, and the file storage that holds real artifacts. They cover checkpointing and resume, retrieval patterns, cost of keeping state, and the failure modes that show up when an agent is restarted. Fast.io provides the file layer, with indexing for semantic search and citation-backed chat over what it holds.

Most storage problems in agent systems turn out to be a question about which layer should hold what, so the pages settle that before recommending anything. They cover the cost and latency consequences of each choice, what survives a restart and what does not, and how to keep a store that grows every day searchable rather than merely large. Retrieval quality gets as much attention as capacity.