sologuy/Awesome-OpenClaw-Memory
🦞 A curated list of memory systems, architectures, skills & best practices in the OpenClaw ecosystem. OpenClaw 记忆系统精选：论文、框架、实现与最佳实践。
Platform-specific configuration:
{
"mcpServers": {
"Awesome-OpenClaw-Memory": {
"command": "npx",
"args": [
"-y",
"Awesome-OpenClaw-Memory"
]
}
}
}Add the config above to .claude/settings.json under the mcpServers key.
<p align="center"> 【English | <a href="README_cn.md">中文</a>】 </p>
<div align="center"> </div>
[](https://github.com/sologuy/Awesome-OpenClaw-Memory) [](https://opensource.org/licenses/MIT) [](#-openclaw-related-papers) [](#-systems-and-open-sources) [](#-openclaw-memory-plugins)
OpenClaw is an open-source autonomous AI virtual assistant originally developed by Austrian software engineer Peter Steinberger. First released on GitHub as "Clawdbot" in November 2025, later renamed to "Moltbot" and finally "OpenClaw" in January 2026, the project has since grown to over 200K GitHub stars and sparked a global wave of adoption. OpenClaw can be deployed locally on macOS/Windows, calls various AI models and APIs, and receives user instructions via WhatsApp, Telegram, Signal, Discord and other messaging platforms to autonomously handle tasks like scheduling, messaging, file management, and coding.
A key differentiator of OpenClaw is its persistent memory — it stores configuration data and interaction history locally, enabling cross-session continuity. However, the design, security, and scalability of this memory system remain an active frontier for the community.
Awesome-OpenClaw-Memory is a curated collection dedicated to memory systems, architectures, and best practices within the OpenClaw ecosystem. This repository gathers research papers, open-source memory frameworks, and practical implementations relevant to enhancing
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