# IAAR-Shanghai/Awesome-AI-Memory

<https://repo.masters-masters.com/en/repos/IAAR-Shanghai/Awesome-AI-Memory>

[Home](https://repo.masters-masters.com/en) › [IAAR-Shanghai](https://repo.masters-masters.com/en/owners/IAAR-Shanghai) › [Awesome-AI-Memory](https://repo.masters-masters.com/en/repos/IAAR-Shanghai/Awesome-AI-Memory)

IAAR-Shanghai/Awesome-AI-Memory has 1,299 stars on GitHub. Its RepoMasters card: Beta tier. Awesome AI Memory \| LLM Memory \| A curated knowledge base on AI…

| Field | Value |
| --- | --- |
| Owner | [IAAR-Shanghai](https://repo.masters-masters.com/en/owners/IAAR-Shanghai) |
| Stars | 1,299 |
| Forks | 149 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2025 |
| Topics | agent-memory, ai-memory, continual-learning, llm-memory, long-term-memory, memory-systems, rag, memory-augmented-models, reasoning-over-time, ai-memory-system |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [IAAR-Shanghai/Awesome-AI-Memory](https://github.com/IAAR-Shanghai/Awesome-AI-Memory) |

## Repository

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。

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

## More repos by IAAR-Shanghai

- [IAAR-Shanghai/SurveyX · ★ 996 · TeX · Beta](https://repo.masters-masters.com/en/repos/IAAR-Shanghai/SurveyX)
- [IAAR-Shanghai/CRUD\_RAG · ★ 419 · Python · Alpha](https://repo.masters-masters.com/en/repos/IAAR-Shanghai/CRUD_RAG)
- [IAAR-Shanghai/Awesome-Attention-Heads · ★ 413 · TeX · Alpha](https://repo.masters-masters.com/en/repos/IAAR-Shanghai/Awesome-Attention-Heads)
- [IAAR-Shanghai/Meta-Chunking · ★ 278 · Python · Alpha](https://repo.masters-masters.com/en/repos/IAAR-Shanghai/Meta-Chunking)
- [IAAR-Shanghai/CTGSurvey · ★ 205 · TeX · Prototype](https://repo.masters-masters.com/en/repos/IAAR-Shanghai/CTGSurvey)
- [IAAR-Shanghai/UHGEval · ★ 184 · Python · Prototype](https://repo.masters-masters.com/en/repos/IAAR-Shanghai/UHGEval)

## Nearby in Python

- [ArjanCodes/betterpython · ★ 1,299 · Python · Beta](https://repo.masters-masters.com/en/repos/ArjanCodes/betterpython)
- [jtsang4/claude-to-chatgpt · ★ 1,299 · Python · Beta](https://repo.masters-masters.com/en/repos/jtsang4/claude-to-chatgpt)
- [reagento/dishka · ★ 1,299 · Python · Beta](https://repo.masters-masters.com/en/repos/reagento/dishka)
- [freeipa/freeipa · ★ 1,299 · Python · Beta](https://repo.masters-masters.com/en/repos/freeipa/freeipa)
- [defaultnamehere/zzzzz · ★ 1,299 · Python · Beta](https://repo.masters-masters.com/en/repos/defaultnamehere/zzzzz)

---
Data: GitHub · Illustration: the project’s public image, pixelated by RepoMasters.