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Collections of passages shared across agents for persistent long-term knowledge access.
Distinct from Shared Knowledge Graph Memory: Distinct from shared knowledge graphs: focuses on archival passage collections for retrieval.
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Letta is a framework for building, deploying, and managing autonomous AI agents that maintain persistent state across long-term interactions. It provides a comprehensive suite of primitives for defining agents with configurable personas, modular memory blocks, and tool-use capabilities, enabling them to retain user preferences and conversation history over extended sessions. The platform distinguishes itself through its advanced memory management and orchestration capabilities. It allows agents to autonomously update their own memory, perform retrieval-augmented generation, and coordinate com
Organizes shared archival passages for persistent knowledge access across multiple agents.