Recalld is a memory layer for AI agents that extracts and stores atomic facts from conversations and documents, then retrieves only relevant information for queries. It uses hybrid retrieval with LLM curation to reduce token usage while maintaining accuracy, offering three core API endpoints: add, recall, and search.