Deploy and coordinate multi-agent swarms using Ruflo for efficient task execution and collaboration. Use when deploying and coordinating swarms of agents with ruflo.
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---
name: ruflo
description: "Deploy and coordinate multi-agent swarms using Ruflo for efficient task execution and collaboration. Use when deploying and coordinating swarms of agents with ruflo."
---
> Written for SFP in its own words from the project at https://github.com/ruvnet/ruflo (upstream license: MIT).
# Deploying Multi-Agent Swarms with Ruflo
## Use this skill when
- You need to manage multiple AI agents working together on complex tasks.
- You want to leverage the coordination features of Ruflo for better performance and scalability.
## What it is
Ruflo is a meta-harness that enables the deployment and management of multi-agent swarms. It provides tools for agent coordination, memory retention, and secure communication across different machines.
## Steps
1. **Initialize Ruflo in your project:**
```bash
npx ruflo@latest init wizard
```
2. **Install necessary plugins:**
- Core tools:
```text
/plugin marketplace add ruvnet/ruflo
/plugin install ruflo-core@ruflo
/plugin install ruflo-console@ruflo
/plugin install ruflo-mods@ruflo
/reload-plugins
```
- Ruflo in Codex or another MCP enabled tool:
```bash
npx -y ruflo@latest mcp start
```
3. **Configure the terminal UI (optional):**
```bash
npx ruflo tui
```
4. **Set up ruOS Desktop for advanced features:**
```text
https://ruos.cognitum.one/mcp
```
## Checks
- Ensure all plugins are installed and running.
- Verify that the terminal UI displays the expected information (Overview, Cost, Swarm, Events, Missions).
- Confirm that agents are self-organizing into swarms as intended.
## Pitfalls
- **Version Compatibility:** Make sure you have the required version of Claude Code or Codex.
- **Security Risks:** Review and understand the permissions granted to mods before installing them.
- **Resource Management:** Monitor resource usage to prevent overloading your system with too many agents.