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ProtocolProduction ReadyMCP
ruflo
by ruvnet
Enterprise-grade multi-agent orchestration and swarm coordination for Claude
TypeScript
Updated Apr 2, 2026
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How It Works
Orchestrates multi-agent swarms and autonomous workflows tailored for Claude. [Market-Based Coordination Pattern] guides its orchestration, coordinates agents, manages distributed task delegation, and supports RAG pipelines [Semantic Capability Matching Pattern] to build conversational AI systems. Designed for large-scale deployments with enterprise-grade architecture and swarm intelligence primitives.
Why It Matters
As agents delegate subtasks, operators need visibility into who did what and whether agents behave reliably. [Inter-Agent Miscommunication] failure explains why this visibility is a prerequisite for meaningful multi-agent trust and continuous agent-to-agent evaluation.
When to Use
Teams building production multi-agent Claude systems that need scalable orchestration, RAG pipelines, and operational governance. Leverage [Dynamic Task Routing Pattern] to optimize task allocation across agent fleets.
Use Cases
- Coordinate specialist agents to decompose and solve complex conversational tasks
- Run RAG-backed agent workflows with managed Claude Code skills and Codex integration
- Enforce governance and traceability for agent delegation in production systems
Works With
anthropic
Topics
agentic-aiagentic-engineeringagentic-frameworkagentic-ragagentic-workflowagentsai-assistantai-toolsanthropic-claudeautonomous-agents+10 more
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Keywords
multi-agent orchestrationmulti-agent trustagent-to-agent evaluationagent delegation