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ToolProduction ReadyMCP
claude-flow
by ruvnet
Production-grade multi-agent orchestration for Claude with MCP support
TypeScript
Updated Feb 12, 2026
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Summary
Orchestrates multi-agent swarms and autonomous workflows built around Claude models. Uses a distributed director/worker architecture with RAG integration and native Claude Code skill support, routing tasks across agents via the Model Context Protocol (MCP). Designed for large-scale, production deployments with features for distributed execution and developer extensibility.
Why It Matters
As agents delegate subtasks, understanding which agents succeed or fail becomes essential for trust and reliability. Claude-flow makes agent coordination explicit and observable, which exposes the interaction patterns and failure modes you need to evaluate agent trustworthiness. That visibility is a practical foundation for adding reputational signals (see Agent Registry Pattern), continuous evaluation, and policies around delegation and governance (also informed by Defense in Depth Pattern).
Ideal For
Teams building production multi-agent systems on Anthropic Claude who need scalable orchestration and observability for agent interactions, guided by Planning Pattern.
Applications
- Coordinate specialist Claude agents to decompose and solve complex workflows
- Run RAG-enabled conversational pipelines with distributed workers and Claude Code skills
- Observe and debug agent delegation patterns and failure modes before production rollouts
Works With
anthropichuggingface
Topics
agentic-aiagentic-engineeringagentic-frameworkagentic-ragagentic-workflowagentsai-assistantai-toolsanthropic-claudeautonomous-agents+10 more
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Keywords
multi-agent orchestrationmulti-agent trustmcpagent reliability