Tencent SkillHub · AI

RMN Visualizer

Visualize your AI Agent's 5-layer recursive memory network from local files with an interactive D3.js force-directed graph in a Node.js server.

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High Signal

Visualize your AI Agent's 5-layer recursive memory network from local files with an interactive D3.js force-directed graph in a Node.js server.

⬇ 0 downloads ★ 0 stars Unverified but indexed

Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: README.md, SKILL.md, package.json, scripts/launch.js, scripts/serve.js

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.1.2

Provenance

Publisher: weidadong2359
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 8 sections Open source page

RMN Visualizer — 递归记忆神经网络可视化

一键查看你的 AI Agent 大脑结构

Overview

RMN Visualizer 扫描你的 Agent 记忆文件（MEMORY.md, memory/.md, .issues/），自动解析为 5 层递归神经网络，并用 D3.js 力导向图实时可视化。零外部依赖，纯 Node.js 内置 HTTP server + 内嵌 D3.js。

When to Activate

用户说 "可视化记忆" / "visualize memory" / "show memory network" / "记忆网络" 用户说 "看看我的大脑" / "memory map" / "brain map"

Quick Launch (推荐)

一键启动本地服务 + Cloudflare Tunnel，返回公网链接到聊天窗口： node <skill_directory>/scripts/launch.js stdout 只输出一行公网 URL（如 https://xxx.trycloudflare.com）， agent 应该把这个链接直接发给用户，附上简要说明。需要 cloudflared 已安装。如果没有，fallback 到本地模式。

Local Only

node <skill_directory>/scripts/serve.js 然后打开 http://localhost:3459

What You See

5 层彩色节点：Identity (红) → Semantic (橙) → Episodic (黄) → Working (绿) → Sensory (蓝) 节点大小 = 权重（越重要越大）连线 = 记忆关联悬停显示详情实时统计面板：节点数、连接数、各层分布、平均权重衰减动画：权重低的节点逐渐透明

Configuration

默认扫描 OpenClaw workspace 下的文件。可通过环境变量覆盖： RMN_WORKSPACE=/path/to/workspace node scripts/launch.js RMN_PORT=3459 node scripts/launch.js

Architecture

Memory Files (MEMORY.md, memory/*.md, .issues/*) ↓ [Parser — 正则 + 启发式分层] 5-Layer Neural Network (JSON) ↓ [D3.js Force Simulation] Interactive Visualization (Browser)

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

2 Docs2 Scripts1 Config

SKILL.md Primary doc
README.md Docs
scripts/launch.js Scripts
scripts/serve.js Scripts
package.json Config