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@ruvector/agentic-integration

Coordinate distributed AI agents with shared vector memory and task routing.

1|Updated Feb 8, 2026
Search Tags:#RAG#multi-agent#orchestration#agentic#task routing#vector memory
One-click install
npx skills add https://github.com/ricable/cli-skills-builder --skill ruvector-agentic-integration
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: @ruvector/agentic-integration
Source: https://github.com/ricable/cli-skills-builder/tree/main/.claude/skills/ruvector-agentic-integration
Command: npx skills add https://github.com/ricable/cli-skills-builder --skill ruvector-agentic-integration

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the coordination of multiple AI agents, enabling complex workflows through shared memory, intelligent task routing, and seamless integration with orchestration tools.

Core Features & Use Cases

  • Distributed Agent Coordination: Manage and orchestrate multiple AI agents.
  • Shared Vector Memory: Facilitate knowledge sharing and retrieval among agents.
  • Task Routing: Intelligently dispatch tasks based on agent capabilities or other strategies.
  • Use Case: Build an agentic RAG pipeline where one agent retrieves relevant documents from a vector database and another agent generates a response based on that context.

Quick Start

Install the agentic integration framework by running npx @ruvector/agentic-integration@latest.

Frequently Asked Questions about @ruvector/agentic-integration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I orchestrate multi-agent workflows with shared vector memory?▼

You can orchestrate multi-agent workflows by installing the framework via `npx @ruvector/agentic-integration@latest`, which provides distributed agent coordination, shared vector memory for knowledge retrieval, and intelligent task routing based on agent capabilities.

What is an agentic RAG pipeline and how does task routing work?▼

An agentic RAG pipeline connects AI agents to vector indexes where task routing intelligently dispatches operations based on agent capabilities, allowing one agent to retrieve documents while another generates responses from the shared context.

Can I use claude-flow for distributed agent coordination?▼

Yes, claude-flow integrates with this agentic framework to provide distributed agent coordination, enabling seamless agent-to-agent communication, shared vector memory access, and intelligent task routing for complex multi-agent workflows.

How do I build a multi-agent system where agents share knowledge retrieval?▼

Build a multi-agent system with shared knowledge retrieval by connecting your agents to RuVector indexes, which provides shared vector memory that facilitates knowledge sharing and retrieval among all coordinated agents during workflow execution.

Do I need a vector database to route tasks across multiple AI agents?▼

Yes, a vector database like RuVector is required to provide the shared vector memory layer that enables intelligent task routing and knowledge retrieval across multiple coordinated AI agents in the workflow.

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