Memory
Persistent state across sessions. Writing, retrieving, and scoping agent memory so the agent gets better with every interaction.
- Retrieve from a vector store with metadata filters and get the right chunk
An agent combining semantic search with metadata filters reaches into ten million chunks and returns the right one in under a hundred milliseconds, which a human searching a SQL database by hand cannot come close to matching.
Read → - Scope agent memory per user without leaking across sessions
An agent can index and retrieve against millions of per-user memory stores in parallel, which a human operating the same product would need a team and a custom dashboard to match.
Read → - Give your agent memory that survives a restart
An agent with persistent memory improves its responses over time without retraining, which a human doing the same job would need a notebook and perfect recall to match.
Read →
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