Awesome AI Memory: A Curated Knowledge Base for LLM & Agent Memory
tom_doerr · x · 2026-08-03
IAAR-Shanghai has open-sourced a curated knowledge base on GitHub called Awesome-AI-Memory, which has garnered over 1.1k stars.
The repository systematically organizes core resources related to memory in Large Language Models (LLMs) and autonomous agents. Topics covered include long-term memory, continual learning, reasoning and retrieval mechanisms, and memory-native system design. It also features a curated list of research papers, engineering frameworks, and evaluation datasets, making it highly valuable for developers working on AI infrastructure and agents.
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