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。
This knowledge base helps AI developers and researchers overcome the challenge of limited 'short-term memory' in Large Language Models (LLMs). It provides curated research papers, engineering frameworks, and practical implementations related to AI memory systems, allowing LLMs and intelligent agents to handle extended conversations, personalize interactions, and perform complex multi-stage tasks. Developers and researchers building or working with LLMs will find this useful for designing more capable AI systems.
499 stars.
Use this if you are a researcher or developer focused on enhancing LLMs and intelligent agents with long-term memory, continuous learning, and more sophisticated reasoning capabilities.
Not ideal if you are looking for general LLM pre-training techniques, basic information retrieval systems, or traditional database solutions unrelated to extending LLM context windows.
Stars
499
Forks
37
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
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