ruvnet/ruflo: Multi-agent meta-harness with Claude Code, multi-model integration
Decision Brief
ruvnet/ruflo is a leading agent meta-harness for deploying intelligent multi-agent swarms, coordinating autonomous workflows, and building conversational AI systems. It features adaptive memory, self-learning intelligence, RAG integration, and native support for Claude Code, Codex, Hermes, and more. The project has 63,118 GitHub stars (1,191 added in 7 days), built with TypeScript. For developers building complex AI workflows with multiple models, ruflo provides a unified framework to quickly chain models and enable autonomous decision-making. It suits teams needing multi-agent collaboration, long-term memory, or dynamic task scheduling, e.g., customer service, automated research, or real-time dialogue. However, no installation steps or benchmarks are provided; performance needs further testing.
Sources
- Skill Radar(GitHub 趨勢)
Trending hands-on MCP servers, agent skills, and AI-coding tools discovered from GitHub search momentum.
- GitHub:ruvnet/ruflo