IAAR-Shanghai/Awesome-AI-Memory
Awesome AI Memory | LLM Memory | A curated knowledge base on AI memory for LLMs and agents, covering long-term memory, reasoning, retrieval, and memory-native system design. Awesome-AI-Memory 是一个 集中式、持续更新的 AI 记忆知识库，系统性整理了与 大模型记忆（LLM Memory）与智能体记忆（Agent Memory） 相关的前沿研究、工程框架、系统设计、评测基准与真实应用实践。
Organizes 285+ papers and 87 open-source projects across a multi-dimensional taxonomy covering parametric vs. external memory, episodic/semantic/procedural types, and operations like writing, retrieval, updating, and compression. The repository systematically maps memory mechanisms including RAG, summarization, vector retrieval, and symbolic-neural hybrid approaches, with explicit focus on agent systems, multi-agent collaboration, and evaluation benchmarks for long-term consistency and personalization tasks.
499 stars.
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499
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Language
Python
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Apache-2.0
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Last pushed
Mar 12, 2026
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