RuFlo
Advanced multi-agent orchestration framework for Claude AI with SPARC methodology, enabling complex AI workflows and swarm coordination. Formerly known as claude-flow (renamed February 2026, v3.10.2).
Overview
RuFlo (formerly claude-flow, renamed January 2025 at v3.5.0) is my go-to tool for complex AI development workflows. It extends Claude Code's capabilities with multi-agent orchestration, enabling teams of specialized AI agents to collaborate on sophisticated tasks. The framework achieved an 84.8% solve rate on SWE-Bench and delivers 2.8-4.4x speed improvements through parallel execution.
How I Use RuFlo
I leverage RuFlo for full-stack development, orchestrating specialized agents for research, coding, testing, and review. The SPARC methodology ensures systematic development with proper architecture and testing.
Agent Specialization
I configure swarms with specialized agents: researchers for requirements analysis, coders for implementation, testers for quality assurance, and reviewers for code quality. Each agent has specific capabilities and coordinates through shared memory.
Automation Benefits
Hooks automatically format code, validate changes, train neural patterns, and update memory. This automation reduces cognitive load and ensures consistency across projects.
SPARC Methodology
SPARC provides a systematic approach to development: Specification (requirements), Pseudocode (algorithm design), Architecture (system design), Refinement (TDD implementation), and Completion (integration). This methodology ensures thorough planning and quality.
Performance Benefits
Parallel agent execution provides 2.8-4.4x speed improvements over sequential work. Neural pattern training from successful workflows reduces token usage by 32.3%. Cross-session memory enables context retention across sessions.