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Awesome GitHub RepositoriesTemporal Decay Policies
Logic for weighting data based on time to prioritize recent information and manage data relevance.
Distinguishing note: Focuses on time-based relevance for AI memory, distinct from general cache expiration.
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Awesome Temporal Decay Policies GitHub Repositories
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- mem0ai/mem0
mem0ai/mem0
47,634View on GitHubMem0 is an agent-agnostic memory layer designed to provide intelligent agents with long-term persistence and cross-session state management. By acting as a centralized service, it allows diverse AI agents to recall user preferences, past interactions, and historical context, ensuring continuity across multiple workflows and independent agent systems. The platform distinguishes itself through a multi-signal retrieval engine that combines semantic vectors, keyword matching, and entity-linked metadata to surface the most relevant information. It employs an adaptive memory engine that automatical
Applies time-based weighting to stored memories to prioritize recent information and reduce the influence of outdated or irrelevant data.
Pythonagentsaiai-agents
