RuView — AgentDB Memory Patterns

Name: RuView — AgentDB Memory Patterns
Availability: InStock
Author: ruvnet

Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems,

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skill

AI & Machine Learning

intermediate

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4/5 quality

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Last updated: October 22, 2026

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Developers

Quick Start

Install Command

npx skills add ruvnet/RuView --skill agentdb-memory-patterns

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3-5hrs/WK

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AgentDB Memory Patterns

What This Skill Does

Provides memory management patterns for AI agents using AgentDB's persistent storage and ReasoningBank integration. Enables agents to remember conversations, learn from interactions, and maintain context across sessions.

Performance: 150x-12,500x faster than traditional solutions with 100% backward compatibility.

Prerequisites

Node.js 18+
AgentDB v1.0.7+ (via agentic-flow or standalone)
Understanding of agent architectures

Quick Start with CLI

Initialize AgentDB

# Initialize vector database
npx

**Install**

```bash
npx skills add ruvnet/RuView --skill agentdb-memory-patterns

Or copy the skill folder manually:

git clone https://github.com/ruvnet/RuView.git
cp -r RuView/.claude/skills/agentdb-memory-patterns/ ~/.claude/skills/agentdb-memory-patterns

Source: ruvnet/RuView — 99,120 stars, MIT, verified 2026-10-22.

RuView — AgentDB Memory Patterns

AI Skill Market Insights

Quick Start

Install Command

TEAR & SHARE

Tags

Multi-Agent Patterns

Be Part of the 0+ Developer Community

AgentDB Memory Patterns

What This Skill Does

Prerequisites

Quick Start with CLI

Initialize AgentDB

License

Memory Systems Design

Context Degradation Detection

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