Orchestrate a 60-Agent AI Swarm With Smart Task Routing Using the Rooflow Multi-Agent Framework

Who This Is For

• You've already run basic multi-agent setups and want a proper hierarchical architecture managing the coordination

• You're spending too much on advanced model tiers for tasks that don't need them

• You're running sequential AI workflows, one task at a time, and need genuine parallelization

• You want fault tolerance built in so one failing agent doesn't collapse the whole system

• You're managing a complex development project (full-stack feature, system refactor, end-to-end testing) that's too large for a single AI session

What You'll Have

• A deployed Rooflow multi-agent swarm with a manager agent that decomposes your project into a structured task tree

• Up to 60 worker agents running research, coding, testing, and security checks in parallel

• A smart routing engine assigning lightweight tasks to efficient models and complex decisions to advanced reasoning models

• A consensus mechanism (Byzantine, Weighted, or Majority voting) keeping all agents aligned to the primary objective

What You'll Need

• The Rooflow/Ruflo framework deployed in your environment (see Run 60 AI Coding Agents in Parallel Using Rooflow and Claude Code for the initial setup)

• A clearly defined high-complexity development goal before you start

• API access to at least two model tiers, one efficient and one advanced (for example Claude Haiku plus Claude Opus)

• Your target stack and success metrics identified upfront

Going Further

— Start here if you have not deployed Rooflow yet: Run 60 AI Coding Agents in Parallel Using Rooflow and Claude Code (AI Agent)

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

— Guide: Orchestrate 100+ AI Agents in Parallel With Ruflo (AI Agent)