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claude-flow

2.7.0-alpha.14
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Enterprise-grade AI agent orchestration with WASM-powered ReasoningBank memory and AgentDB vector database (always uses latest agentic-flow)

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    Readme

    🌊 Claude-Flow v2.7.0: Enterprise AI Orchestration Platform

    🌟 Star on GitHub 📈 Downloads 📦 Latest Release ⚡ Claude Code 🏛️ Agentics Foundation 🛡️ MIT License

    🌟 Overview

    Claude-Flow v2.7 is an enterprise-grade AI orchestration platform that combines hive-mind swarm intelligence, persistent memory, and 100+ advanced MCP tools to revolutionize AI-powered development workflows.

    🎯 Key Features

    • 🧠 ReasoningBank Memory: Persistent SQLite storage with semantic search (2-3ms latency)
    • 🔍 Semantic Search: Hash-based embeddings - works without API keys
    • 🐝 Hive-Mind Intelligence: Queen-led AI coordination with specialized worker agents
    • 🔧 100 MCP Tools: Comprehensive toolkit for swarm orchestration and automation
    • 🔄 Dynamic Agent Architecture (DAA): Self-organizing agents with fault tolerance
    • 💾 Persistent Memory: .swarm/memory.db with 30+ specialized patterns
    • 🪝 Advanced Hooks System: Automated workflows with pre/post operation hooks
    • 📊 GitHub Integration: 6 specialized modes for repository management
    • 🌐 Flow Nexus Cloud: E2B sandboxes, AI swarms, challenges, and marketplace

    🔥 Revolutionary AI Coordination: Build faster, smarter, and more efficiently with AI-powered development orchestration


    Quick Start

    📋 Prerequisites

    • Node.js 18+ (LTS recommended)
    • npm 9+ or equivalent package manager
    • Windows users: See Windows Installation Guide for special instructions

    ⚠️ IMPORTANT: Claude Code must be installed first:

    # 1. Install Claude Code globally
    npm install -g @anthropic-ai/claude-code
    
    # 2. (Optional) Skip permissions check for faster setup
    claude --dangerously-skip-permissions

    🚀 Install Latest Alpha

    # NPX (recommended - always latest)
    npx claude-flow@alpha init --force
    npx claude-flow@alpha --help
    
    # Or install globally
    npm install -g claude-flow@alpha
    claude-flow --version
    # v2.7.0-alpha.10

    🆕 What's New in v2.7.0-alpha.10

    Semantic Search Fixed

    Critical bug fix for semantic search returning 0 results:

    • ✅ Fixed stale compiled code (dist-cjs/ now uses Node.js backend)
    • ✅ Fixed result mapping for retrieveMemories() flat structure
    • ✅ Fixed parameter mismatch (namespace vs domain)
    • ✅ 2-3ms query latency with hash embeddings
    • ✅ Works without API keys (deterministic 1024-dim embeddings)

    🧠 ReasoningBank Integration (agentic-flow@1.5.13)

    • Node.js Backend: Replaced WASM with SQLite + better-sqlite3
    • Persistent Storage: All memories saved to .swarm/memory.db
    • Semantic Search: MMR ranking with 4-factor scoring
    • Database Tables: patterns, embeddings, trajectories, links
    • Performance: 2ms queries, 400KB per pattern with embeddings
    # Semantic search now fully functional
    npx claude-flow@alpha memory store test "API configuration" --namespace semantic --reasoningbank
    npx claude-flow@alpha memory query "configuration" --namespace semantic --reasoningbank
    # ✅ Found 3 results (semantic search) in 2ms

    📚 Release Notes: v2.7.0-alpha.10

    🧠 Memory System Commands

    ReasoningBank (Persistent SQLite Memory)

    # Store memories with semantic search
    npx claude-flow@alpha memory store api_key "REST API configuration" \
      --namespace backend --reasoningbank
    
    # Query with semantic search (2-3ms latency)
    npx claude-flow@alpha memory query "API config" \
      --namespace backend --reasoningbank
    # ✅ Found 3 results (semantic search)
    
    # List all memories
    npx claude-flow@alpha memory list --namespace backend --reasoningbank
    
    # Check status and statistics
    npx claude-flow@alpha memory status --reasoningbank
    # ✅ Total memories: 30
    #    Embeddings: 30
    #    Storage: .swarm/memory.db

    Features

    • No API Keys Required: Hash-based embeddings (1024 dimensions)
    • Persistent Storage: SQLite database survives restarts
    • Semantic Search: MMR ranking with similarity scoring
    • Namespace Isolation: Organize memories by domain
    • Fast Queries: 2-3ms average latency
    • Process Cleanup: Automatic database closing

    Optional: Enhanced Embeddings

    # For better semantic accuracy (requires API key)
    export OPENAI_API_KEY=$YOUR_API_KEY
    # Uses text-embedding-3-small (1536 dimensions)

    🐝 Swarm Orchestration

    Quick Swarm Commands

    # Quick task execution (recommended)
    npx claude-flow@alpha swarm "build REST API with authentication" --claude
    
    # Multi-agent coordination
    npx claude-flow@alpha swarm init --topology mesh --max-agents 5
    npx claude-flow@alpha swarm spawn researcher "analyze API patterns"
    npx claude-flow@alpha swarm spawn coder "implement endpoints"
    npx claude-flow@alpha swarm status

    Hive-Mind for Complex Projects

    # Initialize hive-mind system
    npx claude-flow@alpha hive-mind wizard
    npx claude-flow@alpha hive-mind spawn "build enterprise system" --claude
    
    # Session management
    npx claude-flow@alpha hive-mind status
    npx claude-flow@alpha hive-mind resume session-xxxxx

    When to Use:

    Feature swarm hive-mind
    Best For Quick tasks Complex projects
    Setup Instant Interactive wizard
    Memory Task-scoped Project-wide SQLite
    Sessions Temporary Persistent + resume

    🔧 MCP Tools Integration

    Setup MCP Servers

    # Add Claude Flow MCP server (required)
    claude mcp add claude-flow npx claude-flow@alpha mcp start
    
    # Optional: Enhanced coordination
    claude mcp add ruv-swarm npx ruv-swarm mcp start
    
    # Optional: Cloud features (requires registration)
    claude mcp add flow-nexus npx flow-nexus@latest mcp start

    Available MCP Tools (100 Total)

    Core Tools:

    • swarm_init, agent_spawn, task_orchestrate
    • memory_usage, memory_search
    • neural_status, neural_train, neural_patterns

    Memory Tools:

    • mcp__claude-flow__memory_usage - Store/retrieve persistent memory
    • mcp__claude-flow__memory_search - Pattern-based search

    GitHub Tools:

    • github_repo_analyze, github_pr_manage, github_issue_track

    Performance Tools:

    • benchmark_run, performance_report, bottleneck_analyze

    📚 Full Reference: MCP Tools Documentation


    🪝 Advanced Hooks System

    Automated Workflow Enhancement

    Claude-Flow automatically configures hooks for enhanced operations:

    # Auto-configures hooks during init
    npx claude-flow@alpha init --force

    Available Hooks

    Pre-Operation:

    • pre-task: Auto-assigns agents by complexity
    • pre-edit: Validates files and prepares resources
    • pre-command: Security validation

    Post-Operation:

    • post-edit: Auto-formats code
    • post-task: Trains neural patterns
    • post-command: Updates memory

    Session Management:

    • session-start: Restores previous context
    • session-end: Generates summaries
    • session-restore: Loads memory

    🎯 Common Workflows

    Pattern 1: Single Feature Development

    # Initialize once per feature
    npx claude-flow@alpha init --force
    npx claude-flow@alpha hive-mind spawn "Implement authentication" --claude
    
    # Continue same feature (reuse hive)
    npx claude-flow@alpha memory query "auth" --recent
    npx claude-flow@alpha swarm "Add password reset" --continue-session

    Pattern 2: Multi-Feature Project

    # Project initialization
    npx claude-flow@alpha init --force --project-name "my-app"
    
    # Feature 1: Authentication
    npx claude-flow@alpha hive-mind spawn "auth-system" --namespace auth --claude
    
    # Feature 2: User management
    npx claude-flow@alpha hive-mind spawn "user-mgmt" --namespace users --claude

    Pattern 3: Research & Analysis

    # Start research session
    npx claude-flow@alpha hive-mind spawn "Research microservices" \
      --agents researcher,analyst --claude
    
    # Check learned knowledge
    npx claude-flow@alpha memory stats
    npx claude-flow@alpha memory query "microservices patterns" --reasoningbank

    📊 Performance & Stats

    • 84.8% SWE-Bench solve rate - Industry-leading problem-solving
    • 32.3% token reduction - Efficient context management
    • 2.8-4.4x speed improvement - Parallel coordination
    • 2-3ms query latency - ReasoningBank semantic search
    • 64 specialized agents - Complete development ecosystem
    • 100 MCP tools - Comprehensive automation toolkit

    📚 Documentation

    Core Documentation

    Release Notes

    Advanced Topics

    Configuration


    🤝 Community & Support


    🚀 Roadmap & Targets

    Immediate (Q4 2025)

    • ✅ Semantic search fix (v2.7.0-alpha.10)
    • ✅ ReasoningBank Node.js backend
    • 🔄 Enhanced embedding models
    • 🔄 Multi-user collaboration features

    Q1 2026

    • Advanced neural pattern recognition
    • Cloud swarm coordination
    • Real-time agent communication
    • Enterprise SSO integration

    Growth Targets

    • 5K+ GitHub stars, 50K npm downloads/month
    • $25K MRR, 15 enterprise customers
    • 90%+ error prevention
    • 30+ minutes saved per developer per week

    Star History

    Star History Chart

    📄 License

    MIT License - see LICENSE for details


    Built with ❤️ by rUv | Powered by Revolutionary AI

    v2.7.0-alpha.10 - Semantic Search Fixed + ReasoningBank Node.js Backend