Awesome-AI-Memory and Awesome-Agent-Memory
About Awesome-AI-Memory
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.
About Awesome-Agent-Memory
TeleAI-UAGI/Awesome-Agent-Memory
Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.
This project offers a comprehensive collection of resources on memory mechanisms for large language models (LLMs) and multimodal language models (MLLMs). It helps AI developers and researchers understand and implement solutions for long-term context, efficient retrieval, and robust reasoning in AI agents. You can explore systems, benchmarks, and academic papers to find effective approaches for improving AI memory.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work