breath57/how-ai-agents-remember
源码级逆向工程（OpenClaw、nanobot、NullClaw、OpenFang）记忆系统 —— 架构图、数据模型、检索管线、复刻指南
This project offers an in-depth analysis of how AI agents "remember" information, breaking down the memory systems of four popular open-source AI bot projects. It provides architectural diagrams, data models, retrieval pipelines, and step-by-step replication guides. This resource is for developers, researchers, or anyone building their own AI agents who needs to understand the underlying mechanisms of persistent memory.
Use this if you are developing AI agents and need to understand the architectural choices, data structures, and retrieval strategies for implementing robust and effective memory systems.
Not ideal if you are an end-user simply looking to use an AI agent without needing to understand its internal memory mechanisms or build your own.
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Mar 09, 2026
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