IAAR-Shanghai/Awesome-AI-Memory — Awesome AI Memory | LLM Memory | A curated knowledge base on AI memory for LLMs and agents, covering…

Description and use

Awesome‑AI‑Memory is a curated, continuously updated knowledge base that compiles cutting‑edge research, engineering frameworks, system designs, benchmarks, and real‑world applications related to long‑term memory, reasoning, retrieval, and memory‑native architectures for large language models and autonomous agents. It serves as a centralized resource for developers and researchers aiming to build or evaluate LLM‑based memory and agent systems.

Problem

IAAR-Shanghai/Awesome-AI-Memory helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Evidence

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。

Source