supermemory

Long-term memory is provided for AI agents through an API that saves and retrieves memories, ensuring cross-session context retention and preventing information loss. It supports incremental learning to continuously update retained knowledge.

Knowledge graph construction is handled automatically by building entity relationship networks from saved interactions. This allows AI agents to map connections between stored memories and retrieve related context efficiently during conversations.

To start saving memories, initialize a new project using supported CLI workflows like login and init. This requires an API-enabled environment with memory storage to expose the memory API for saving and retrieving data.

Yes, API-first access enables persistent memory and recall across multiple clients. The memory API allows various clients to save and retrieve memories, facilitating shared knowledge and consistent context retention.

An AI agent needs a knowledge graph to structure long-term memory by mapping entity relationships. This enables intelligent recall of specific context and prevents information drift during complex, multi-session interactions.

Yes, an API-enabled environment with memory storage is required to support cross-session memory. The system relies on this setup to execute CLI workflows and expose the memory API for saving and retrieving memories.