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IAAR-Shanghai/Awesome-AI-Memory resource

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。 observed · 2026-09-03

github.com/IAAR-Shanghai/Awesome-AI-Memory · Python · Apache-2.0 (permissive) observed · 2026-09-03

Health v2 · maintenance only

61/100

  • Activity 100
  • Release rhythm 35
  • Longevity 19

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 275
  • days_rel: n/a
  • days_push: 0
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1196 stars · 127 forks observed · 2026-09-03

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated, continuously updated knowledge base (awesome list) on AI memory for LLMs and agents, collecting research papers, frameworks, benchmarks, and system design practices. It covers long-term memory, retrieval, reasoning over time, and memory-native system design.

Use cases

  • find research papers on llm long-term memory
  • learn how agent memory systems work
  • compare memory frameworks for llm agents
  • find benchmarks for evaluating ai memory systems
  • research memory-augmented language models
  • design a memory system for a chatbot
  • keep up with the ai memory research landscape

When to choose

  • you need a curated survey of papers, tools, and benchmarks on LLM/agent memory
  • you are researching memory-augmented models or long-term memory architectures
  • you want a starting point to discover memory frameworks and implementations

When to avoid

  • you need a production memory system rather than a reference list
  • you are looking for general RAG or context-window techniques unrelated to memory
  • you need runnable software rather than curated links and papers

Facets

learning-resource · maturity active

rag nlp agent-framework documentation large-language-models awesome-lists tutorials python awesome-list llm-memory agent-memory long-term-memory memory-systems curated-papers survey ai-agents retrieval-augmented-generation natural-language-processing

1 source

Member repositories

RepositoryRoleHealth v2
IAAR-Shanghai/Awesome-AI-Memorymain61

For agents

markdown · JSON · MCP: product_card(name="IAAR-Shanghai/Awesome-AI-Memory")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem