MemoryOS
NormalDescription
[EMNLP 2025 Oral] MemoryOS is designed to provide a memory operating system for personalized AI agents.
[EMNLP 2025 Oral] MemoryOS is designed to provide a memory operating system for personalized AI agents.
A MemAgent framework that can extrapolate to 3.5M context tokens, along with a training framework for RL training of any agent workflow.
NeurIPS 2024 RAG framework inspired by human long-term memory, combining knowledge graphs with personalized PageRank for continuous knowledge integration in LLMs.
Embedchain is a universal memory layer for AI agents, enabling quick integration of diverse data sources into LLMs for context-aware AI applications.
A hyper-fast local vector database for use with LLM Agents, providing lightweight vector storage and similarity search capabilities for embedding as instant memory and knowledge retrieval components in agent applications.