# Claude Flow

> Use this tool when you need to deploy and manage complex AI systems, such as multi-agent swarms or conversational AI, to solve problems like autonomous workflow coordination and intelligent decision-making. Claude Flow takes in developer inputs, such as workflow automation and vector database integration, and outputs orchestrated agent swarms with persistent memory and semantic memory capabilities. Ideal for use cases requiring scalable, enterprise-grade AI solutions with extensive tooling and automation.

Canonical page: https://skillsregistry.net/skills/ruvnet-claude-flow  
JSON: https://api.skillsregistry.net/v1/skills/ruvnet-claude-flow

## Description

Enterprise-grade agent orchestration platform that enables developers to deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Combines hive-mind swarm intelligence with persistent memory and provides access to extensive MCP tooling. Features AgentDB vector database integration, GitHub workflow automation, and semantic memory capabilities.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-29

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ruvnet-claude-flow)
- **Repository:** <https://github.com/ruvnet/ruflo>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ruvnet-claude-flow"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ruvnet-claude-flow` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ruvnet-claude-flow/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt