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Awesome GitHub RepositoriesArchival Memory Query Engines
Systems for retrieving historical data using semantic and temporal filters.
Distinct from Agent Memory Storage: Distinct from general memory storage: focuses on query-time retrieval logic for archival data.
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Awesome Archival Memory Query Engines GitHub Repositories
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- letta-ai/letta
letta-ai/letta
21,168Voir sur GitHubLetta 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
Retrieves historical information using semantic similarity and temporal filters.
Pythonaiai-agentsllm
