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。

691 53 +9/wk

GitHub

agent-memory ai-memory ai-memory-system awesome-ai-memory continual-learning llm-memory long-term-memory memory-augmented-models memory-systems rag reasoning-over-time

Trend 3

Star & Fork Trend (35 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 691

forks 53

Growth Velocity

IAAR-Shanghai/Awesome-AI-Memory has +9 stars this period . 7-day velocity: 3.9%.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric	Awesome-AI-Memory	MovieChat	gritlm	Machine-Learning-Guide
Stars	691	690	690	690
Forks	53	43	50	63
Weekly Growth	+9	+0	+1	-3
Language	Python	Python	Jupyter Notebook	Python
Sources	1	1	1	1
License	Apache-2.0	BSD-3-Clause	MIT	N/A

Capability Radar vs MovieChat

Awesome-AI-Memory

MovieChat

Maintenance Activity 100

Last code push 2 days ago.

Community Engagement 38

Fork-to-star ratio: 7.7%. Lower fork ratio may indicate passive usage.

Issue Burden 70

Issue data not yet available.

Growth Momentum 100

+9 stars this period — 1.30% growth rate.

License Clarity 95

Licensed under Apache-2.0. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.