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claude-flow

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Ruflo - Enterprise AI agent orchestration for Claude Code. Deploy 60+ specialized agents in coordinated swarms with self-learning, fault-tolerant consensus, vector memory, and MCP integration

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# Token Usage Optimization ## Purpose Reduce token consumption while maintaining quality through intelligent coordination. ## Optimization Strategies ### 1. Smart Caching - Search results cached for 5 minutes - File content cached during session - Pattern recognition reduces redundant searches ### 2. Efficient Coordination - Agents share context automatically - Avoid duplicate file reads - Batch related operations ### 3. Measurement & Tracking ```bash # Check token savings after session Tool: mcp__claude-flow__token_usage Parameters: {"operation": "session", "timeframe": "24h"} # Result shows: { "metrics": { "tokensSaved": 15420, "operations": 45, "efficiency": "343 tokens/operation" } } ``` ## Best Practices 1. **Use Task tool** for complex searches 2. **Enable caching** in pre-search hooks 3. **Batch operations** when possible 4. **Review session summaries** for insights ## Token Reduction Results - 📉 32.3% average token reduction - 🎯 More focused operations - 🔄 Intelligent result reuse - 📊 Cumulative improvements