# RUV Swarm

> Use this tool when you need to deploy adaptive and efficient AI solutions that require coordinated efforts from multiple agents with diverse cognitive patterns. RUV Swarm solves complex problems by creating ultra-lightweight neural networks on-the-fly, leveraging 27+ models, and providing comprehensive management and optimization tools. It is ideal for use cases that demand ephemeral intelligence, flexible task orchestration, and performance benchmarking.

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

## Description

Enables ephemeral intelligence through ultra-lightweight neural networks created on-the-fly to solve specific problems. Coordinates multiple AI agents using different cognitive patterns with 27+ neural network models including LSTM, TCN, and N-BEATS. Provides comprehensive tools for swarm management, agent spawning, task orchestration, ML optimization, and performance benchmarking with SWE-Bench integration.

## 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:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ruvnet-swarm)
- **Repository:** <https://github.com/ruvnet/ruv-fann/tree/HEAD/ruv-swarm>

## 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-swarm"
    }
  }
}
```

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