Image & Vision · GitHub ·724 ★

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。

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Details

Author
IAAR-Shanghai
Category
Image & Vision
Platform
GitHub
Framework
custom
Language
python
Stars
724
First indexed
2026-05-15
Last active
2026-04-13
Directory sync
2026-05-15
@IAAR-Shanghai

Overview

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。

Quick start

git

git clone https://github.com/IAAR-Shanghai/Awesome-AI-Memory

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What Awesome-AI-Memory can do

llmragdesign
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Design — design task automation.

Frequently asked questions

What is 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。
How do I install Awesome-AI-Memory?
Use git: `git clone https://github.com/IAAR-Shanghai/Awesome-AI-Memory`. Full setup details on the source page linked above.
Is Awesome-AI-Memory open source?
Awesome-AI-Memory is published on GitHub.
What are alternatives to Awesome-AI-Memory?
Comparable agents include lobehub, stable-baselines3, ui. Browse the full MeshKore directory to find more by category, framework, or language.

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Profile data for Awesome-AI-Memory is sourced from GitHub, published by IAAR-Shanghai.

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