Orchestrate 100+ AI Agents in Parallel With Ruflo (formerly Claude Flow)

Turn Claude Code into a coordinated multi-agent swarm

By the end of this guide, you'll have Ruflo installed and orchestrating 100+ specialized AI agents in parallel through Claude Code, planning, coding, testing, and reviewing at once with shared, self-improving memory.

Who This Is For

  • You run large, parallelizable development or automation work and a single agent is too slow

  • You want a coordinated swarm (one agent plans, others code, test, and review) instead of one-at-a-time

  • You use Claude Code and want a heavier orchestration layer on top of it

  • You want agents that share memory and improve across runs, not start fresh each time

  • You're comfortable with a technical, terminal-based setup

A note: this is an Operator-level tool. It's powerful and technical, built for real multi-agent engineering work.

What You'll Build

A running Ruflo orchestration on top of Claude Code, with:

  • 100+ specialized agent types coordinating in parallel

  • Shared, persistent memory (AgentDB) that improves across runs

  • Multiple swarm topologies (hierarchical, mesh, adaptive)

  • Native Claude Code plugin and MCP server integration

  • Multi-provider support with failover (Claude, GPT, Gemini, Cohere, Ollama)

What You'll Need

A note on the "75% cost savings" claim

You'll see Ruflo promoted as cutting Claude API costs by 75%. That figure comes from videos and third-party articles, not from the official Ruflo documentation, which describes coordination, shared memory, and retrieval speed rather than a specific cost reduction. Treat 75% as a marketing claim, not a guaranteed result. The genuine efficiency lever is the multi-provider routing in Step 5: real savings depend on how you route tasks, not a fixed percentage.

Going Further

  • Understand the Claude Code environment underneath Ruflo — Guide: The Real Claude Code Power-User Setup (AI Foundation)

  • Cut costs deliberately with context engineering — Guide: Cut Your Claude API Costs With Context Engineering (AI Foundation)

  • Add persistent memory across sessions — Guide: Build a Free Persistent AI Memory System Using Claude Code and Obsidian (AI Agent)