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Memory Hooks Complete Guide

Henry edited this page Sep 30, 2025 · 2 revisions

Memory Hooks & Natural Triggers - Complete Guide

Transform Claude Code with intelligent memory awareness that learns from your development patterns.

📌 Version: v7.1.4 (Latest Stable) 🚀 Quick Install: cd claude-hooks && python install_hooks.py --natural-triggers 📖 Status: This is the single source of truth for all Memory Hooks documentation

Table of Contents


Overview

Memory Hooks provide automatic memory awareness for Claude Code, evolving from basic session events to intelligent pattern recognition that detects when you need context from your project history.

🎯 Evolution Timeline

Version Feature Description Status
v6.0.0 Basic Memory Hooks Session start/end memory loading Legacy
v7.1.0 Natural Memory Triggers Intelligent pattern detection (85%+ accuracy) Stable
v7.1.3 Mid-Conversation Hooks Real-time memory injection during chats Stable
v7.1.4 Unified Installer Cross-platform Python installer Current

🚀 Key Benefits

  • 🧠 Intelligent Detection: Automatically recognizes when you need memory context
  • ⚡ Multi-Tier Performance: Optimized response times (50ms/150ms/500ms)
  • 🎮 CLI Management: Real-time configuration without editing files
  • 🔄 Zero Downtime: Install and configure without restarting Claude Code
  • 📊 Adaptive Learning: Improves based on your usage patterns

Quick Start

1️⃣ Check Current Status

# Check if hooks are installed
ls ~/.claude/hooks/

# Check Natural Memory Triggers specifically
node ~/.claude/hooks/memory-mode-controller.js status

2️⃣ Install (30 seconds)

# Clone repository (if not already done)
git clone https://github.com/doobidoo/mcp-memory-service.git
cd mcp-memory-service/claude-hooks

# Install with Natural Memory Triggers (recommended)
python install_hooks.py --natural-triggers

3️⃣ Verify Installation

# Test the system
node ~/.claude/hooks/test-natural-triggers.js

# Check CLI controller
node ~/.claude/hooks/memory-mode-controller.js status

✅ That's It!

Natural Memory Triggers automatically activate when you ask questions like:

  • "What approach did we use for authentication?"
  • "How did we handle this error before?"
  • "What were our main architectural decisions?"

Installation

🎯 Unified Python Installer (v7.1.4+)

The unified installer provides cross-platform compatibility with enhanced safety features:

Installation Options

# Basic memory hooks only
python install_hooks.py --basic

# Natural Memory Triggers (recommended)
python install_hooks.py --natural-triggers

# Everything including all features
python install_hooks.py --all

# Test mode (dry run)
python install_hooks.py --dry-run --natural-triggers

# Uninstall
python install_hooks.py --uninstall

What the Installer Does

  1. ✅ Backs up existing hooks and settings
  2. ✅ Intelligently merges configurations (preserves your settings)
  3. ✅ Installs selected components
  4. ✅ Validates Node.js and memory service connectivity
  5. ✅ Runs comprehensive test suite (18+ tests)
  6. ✅ Provides detailed installation report

📁 Manual Installation

For advanced users who need custom control:

# 1. Create hooks directory
mkdir -p ~/.claude/hooks/{core,utilities,tests}

# 2. Copy hook files
cp -r claude-hooks/* ~/.claude/hooks/

# 3. Update Claude settings
# Add to ~/.claude/settings.json:
{
  "hooks": [
    {
      "pattern": "session-start",
      "command": "node ~/.claude/hooks/core/session-start.js"
    },
    {
      "pattern": "user-prompt-submit",
      "command": "node ~/.claude/hooks/core/mid-conversation.js"
    },
    {
      "pattern": "session-end",
      "command": "node ~/.claude/hooks/core/session-end.js"
    }
  ]
}

🐳 Docker Installation

# With hooks pre-configured
docker run -v ~/.claude:/home/user/.claude \
  doobidoo/mcp-memory-service:latest \
  install-hooks --natural-triggers

Configuration

📝 Main Configuration File

Location: ~/.claude/hooks/config.json

{
  "memoryService": {
    "protocol": "auto",              // auto, mcp, or http
    "preferredProtocol": "mcp",      // Primary protocol to try
    "fallbackEnabled": true,         // Enable protocol fallback
    "maxMemoriesPerSession": 8,      // Memory limit per session
    "enableSessionConsolidation": true
  },
  "naturalTriggers": {
    "enabled": true,                 // Enable Natural Memory Triggers
    "triggerThreshold": 0.6,         // Sensitivity (0.0-1.0)
    "cooldownPeriod": 30000,         // Milliseconds between triggers
    "maxMemoriesPerTrigger": 5       // Memories per trigger event
  },
  "performance": {
    "defaultProfile": "balanced",     // speed_focused, balanced, memory_aware
    "enableMonitoring": true,
    "autoAdjust": true
  },
  "output": {
    "verbose": true,                 // Show hook activity
    "showMemoryDetails": false,      // Show detailed scoring
    "cleanMode": false               // Minimal output mode
  }
}

⚙️ Environment Variables

# Optional: Override config file settings
export MCP_MEMORY_HOOK_VERBOSE=true
export MCP_MEMORY_TRIGGER_THRESHOLD=0.7
export MCP_MEMORY_PERFORMANCE_PROFILE=memory_aware

Features

Natural Memory Triggers

Intelligent automatic memory retrieval with 85%+ accuracy

How It Works

  1. Pattern Detection: Analyzes your messages for memory-seeking patterns
  2. Semantic Analysis: Understands context and intent
  3. Relevance Scoring: Ranks memories by relevance
  4. Injection: Seamlessly adds context to your conversation

Trigger Examples

Your Question What Gets Retrieved
"What approach did we use for auth?" Authentication implementations, decisions
"How did we handle this error?" Previous error solutions, debugging sessions
"What were our design decisions?" Architecture choices, trade-offs discussed
"Remember when we optimized...?" Performance improvements, benchmarks

Configuration

# Check current settings
node ~/.claude/hooks/memory-mode-controller.js status

# Adjust sensitivity (0.0-1.0, default 0.6)
node ~/.claude/hooks/memory-mode-controller.js sensitivity 0.7

# Change performance profile
node ~/.claude/hooks/memory-mode-controller.js profile balanced

Context-Provider Integration

Deterministic memory management that makes your already sophisticated system bulletproof for project-specific workflows.

🎯 Core Value: Transform 85% AI accuracy into 100% guaranteed coverage for critical development patterns

The Problem with AI-Only Memory Systems

Even with Natural Memory Triggers' impressive 85%+ accuracy, gaps remain:

Scenario AI-Based Result Business Impact
"cloudflare backend error" 70% retrieval chance 30% chance developer manually searches
Commit message formatting Inconsistent enforcement Team standards violations
Domain-specific terminology Generic interpretation Missing project-specific solutions
Rapid development sessions Cooldown periods Memory gaps during intensive work

The Context-Provider Solution

Rule-based triggers that guarantee capture and retrieval of project-critical patterns:

# Automatic setup - no manual commands needed
# Context-provider activates automatically with Claude Code sessions

Key Improvements

1. 100% Guaranteed Coverage
Before: "I'm having cloudflare vectorize issues"
→ Natural Memory Triggers: 70% chance of retrieval
→ Developer: Manual search required

After: "cloudflare vectorize issues"
→ Rule-based trigger: 100% guaranteed retrieval
→ Natural Memory Triggers: Additional semantic context
→ Result: Comprehensive, immediate solution access
2. Workflow Standardization
Before: Developer types "Fix auth bug"
→ Inconsistent commit formatting

After: "Fix auth bug"
→ Auto-corrected to "fix: auth bug"
→ 100% semantic commit compliance
3. Domain Expertise Capture
MCP Memory Service-specific patterns automatically captured:
✅ "storage backend switch" → Configuration memories
✅ "hybrid backend setup" → Setup procedures
✅ "25ms page load" → Performance optimizations
✅ "oauth integration" → Authentication solutions

Architecture: Complementary Intelligence

User Query: "How did we handle cloudflare errors?"

Layer 1: Context-Provider (Rule-based)
├── Pattern Match: "cloudflare error" → 100% trigger
├── Tags: ["troubleshooting", "cloudflare", "backend"]
└── Memories: Guaranteed retrieval of exact solutions

Layer 2: Natural Memory Triggers (AI-based)
├── Semantic Analysis: Understanding context and intent
├── Relevance Scoring: Additional related memories
└── Adaptive Learning: Pattern refinement over time

Result: Complete coverage with zero gaps

Quantified Business Benefits

Metric Before After Improvement
Context Switching Time 5-10 minutes searching Instant retrieval 80% reduction
Commit Compliance ~60% team adherence 100% automatic 100% standardization
Knowledge Retention 85% capture rate 100% for critical patterns 15% improvement
Onboarding Speed 2-3 days learning patterns Immediate access 60% faster
Problem Resolution Variable success rate Guaranteed pattern access 30% faster resolution

Project-Specific Intelligence

Why This Matters for MCP Memory Service:

Technical Complexity Demands Reliability
  • 4 Storage Backends: sqlite-vec, chromadb, cloudflare, hybrid
  • Multiple Integration Patterns: OAuth, dashboard, MCP protocol
  • Performance-Critical Operations: 25ms response requirements
Domain Language Requires Precision
  • MCP Protocol Terminology: tool handler, storage backend, vector embedding
  • Backend-Specific Errors: cloudflare vectorize failure, sqlite-vec fallback
  • Integration Patterns: hybrid sync, oauth configuration, dashboard validation
Development Velocity Needs Consistency
  • Architectural Decisions: Previous choices immediately accessible
  • Error Solutions: Proven fixes guaranteed retrieval
  • Configuration Patterns: Setup procedures always available

Setup & Configuration

Automatic Integration (No manual setup required):

  1. Context-provider automatically detects MCP Memory Service project
  2. Python MCP Memory Service context activates
  3. Enhanced memory context patterns enable
  4. Works alongside existing Natural Memory Triggers

Manual Verification (Optional):

# Check integration status
# (Context-provider operates transparently via Claude Code MCP client)

# Verify Natural Memory Triggers still active
node ~/.claude/hooks/memory-mode-controller.js status

Before/After Development Scenarios

Scenario 1: Troubleshooting Backend Issues

Before Context-Provider:

Developer: "The cloudflare backend is throwing errors"
→ Manual search through documentation
→ 70% chance Natural Memory Triggers finds relevant info
→ 5-10 minutes context switching
→ Possible missed edge cases

After Context-Provider:

Developer: "cloudflare backend error"
→ Rule-based trigger: Instant guaranteed retrieval
→ Natural Memory Triggers: Additional semantic context
→ < 30 seconds to solution
→ Comprehensive coverage including edge cases
Scenario 2: Maintaining Development Standards

Before Context-Provider:

Team commits:
- "fix auth"
- "Add new feature"
- "updated README"
→ Inconsistent formatting
→ Manual code review enforcement needed

After Context-Provider:

Auto-corrected commits:
- "fix: auth" ✅
- "feat: add new feature" ✅
- "docs: update README" ✅
→ 100% semantic commit compliance
→ Automated standards enforcement

Integration Benefits Summary

For Individual Developers:

  • Zero Context Switching: Instant access to project solutions
  • Consistent Workflows: Automatic standards enforcement
  • Comprehensive Coverage: No knowledge gaps in critical areas

For Development Teams:

  • Knowledge Standardization: Consistent capture and access patterns
  • Onboarding Acceleration: New developers get immediate project intelligence
  • Quality Assurance: Automated compliance with team standards

For Project Velocity:

  • Faster Problem Resolution: 30% improvement in troubleshooting speed
  • Reduced Manual Documentation: Automatic pattern capture
  • Enhanced Code Quality: Consistent formatting and standards

💡 Bottom Line: Context-Provider transforms your already sophisticated Natural Memory Triggers system from "smart but sometimes unpredictable" to "smart AND completely reliable for project-specific patterns."

Mid-Conversation Hooks

Real-time memory injection as topics evolve

  • Dynamic Updates: Injects memories as conversation progresses
  • Context Shifts: Detects topic changes and loads relevant context
  • Non-Intrusive: Works in background without interrupting flow

Legacy Session Hooks

Traditional event-based memory loading

  • session-start: Loads project context when Claude Code starts
  • session-end: Stores session insights and decisions
  • memory-retrieval: Manual memory refresh command

Use legacy hooks when:

  • You need predictable, event-based behavior
  • Working with older Claude Code versions
  • Custom integration requirements

CLI Management

Memory Mode Controller

# Check system status
node ~/.claude/hooks/memory-mode-controller.js status

# Performance profiles
node ~/.claude/hooks/memory-mode-controller.js profile [speed_focused|balanced|memory_aware]

# Adjust sensitivity
node ~/.claude/hooks/memory-mode-controller.js sensitivity 0.7

# Enable/disable features
node ~/.claude/hooks/memory-mode-controller.js toggle-triggers
node ~/.claude/hooks/memory-mode-controller.js toggle-monitoring

# View statistics
node ~/.claude/hooks/memory-mode-controller.js stats

Testing Commands

# Run all tests
node ~/.claude/hooks/test-natural-triggers.js

# Test specific components
node ~/.claude/hooks/tests/test-pattern-detector.js
node ~/.claude/hooks/tests/test-memory-retrieval.js

# Integration test
node ~/.claude/hooks/tests/integration-test.js

Performance Profiles

Available Profiles

Profile Latency Memory Awareness Best For
speed_focused <100ms Basic Quick responses, minimal memory
balanced 200ms Smart triggers General development (default)
memory_aware 500ms Full awareness Complex projects, deep context
adaptive Variable Auto-adjusts Learns from your usage

Profile Configuration

{
  "performance": {
    "profiles": {
      "balanced": {
        "maxLatency": 200,
        "enabledTiers": ["instant", "fast"],
        "backgroundProcessing": true,
        "degradeThreshold": 400,
        "description": "Moderate latency, smart memory triggers"
      }
    }
  }
}

Switching Profiles

# Via CLI
node ~/.claude/hooks/memory-mode-controller.js profile memory_aware

# Via config.json
"defaultProfile": "memory_aware"

# Via environment variable
export MCP_MEMORY_PERFORMANCE_PROFILE=memory_aware

Troubleshooting

Common Issues & Solutions

🔴 Hooks Not Detected

# Check Claude settings
cat ~/.claude/settings.json | grep hooks

# Solution: Reinstall
cd mcp-memory-service/claude-hooks
python install_hooks.py --natural-triggers

🔴 Natural Triggers Not Working

# Check if enabled
node ~/.claude/hooks/memory-mode-controller.js status

# Enable if disabled
node ~/.claude/hooks/memory-mode-controller.js toggle-triggers

# Adjust sensitivity
node ~/.claude/hooks/memory-mode-controller.js sensitivity 0.5

🔴 Memory Service Connection Failed

# Test memory service
curl -k https://localhost:8443/api/health

# Check MCP server
claude mcp list

# Restart memory service
uv run memory server

🔴 High Latency/Performance Issues

# Switch to speed-focused profile
node ~/.claude/hooks/memory-mode-controller.js profile speed_focused

# Disable background processing
# In config.json: "backgroundProcessing": false

# Reduce memory limit
# In config.json: "maxMemoriesPerSession": 5

Debug Mode

# Enable debug output
export DEBUG=hooks:*
claude --debug hooks

# Check logs
tail -f ~/.claude/logs/hooks.log

# Test individual hooks
node ~/.claude/hooks/core/session-start.js --test

Platform-Specific Issues

Windows

  • Use forward slashes in paths: C:/Users/name/.claude/hooks
  • Run as Administrator if permission errors
  • Check Node.js is in PATH

macOS

  • Grant terminal full disk access for file operations
  • Check for conflicting hook matchers in settings.json

Linux

  • Ensure Node.js 16+ installed
  • Check file permissions: chmod +x ~/.claude/hooks/*.js

Advanced Usage

Custom Hook Development

// Example: Custom trigger pattern
// ~/.claude/hooks/custom/my-trigger.js

const { PatternDetector } = require('../utilities/pattern-detector');
const { MemoryClient } = require('../utilities/memory-client');

class CustomTrigger {
  constructor() {
    this.detector = new PatternDetector({
      patterns: [
        /custom pattern/i,
        /specific keyword/i
      ]
    });
    this.client = new MemoryClient();
  }

  async process(input) {
    if (this.detector.shouldTrigger(input)) {
      const memories = await this.client.retrieve({
        query: input,
        limit: 3
      });
      return this.formatMemories(memories);
    }
    return null;
  }
}

Integration with Git

{
  "gitAnalysis": {
    "enabled": true,
    "commitLookback": 14,      // Days to look back
    "maxCommits": 20,           // Maximum commits to analyze
    "includeChangelog": true,
    "gitContextWeight": 1.2     // Boost git-related memories
  }
}

Custom Memory Scoring

// Implement custom relevance scoring
{
  "memoryScoring": {
    "weights": {
      "timeDecay": 0.25,        // Recent memories
      "tagRelevance": 0.35,      // Tag matching
      "contentRelevance": 0.15,  // Content similarity
      "contentQuality": 0.25,    // Quality assessment
      "customScore": 0.0         // Your custom scoring
    },
    "customScoringFunction": "~/.claude/hooks/custom/scoring.js"
  }
}

Architecture

Component Overview

~/.claude/hooks/
├── core/                      # Main hook implementations
│   ├── session-start.js      # Session initialization
│   ├── mid-conversation.js   # Natural Memory Triggers
│   └── session-end.js        # Session consolidation
├── utilities/                # Shared utilities
│   ├── pattern-detector.js  # Pattern recognition
│   ├── memory-client.js     # Memory service client
│   └── performance.js       # Performance monitoring
├── tests/                    # Test suite
├── config.json              # Main configuration
└── memory-mode-controller.js # CLI management tool

Data Flow

  1. Input Analysis → Pattern detection evaluates user message
  2. Trigger Decision → Determines if memory retrieval needed
  3. Memory Retrieval → Fetches relevant memories from service
  4. Context Injection → Seamlessly adds to conversation
  5. Performance Monitoring → Tracks latency and adjusts

Protocol Support

⚠️ IMPORTANT ARCHITECTURAL DECISION: After comprehensive investigation (macOS + Linux), hooks should use HTTP-only protocol, not dual protocol MCP, due to process conflicts.

Current Recommended Configuration: HTTP-Only

{
  "memoryService": {
    "endpoint": "https://localhost:8443",
    "apiKey": "your-api-key"
  }
}

Why HTTP-Only is Optimal:

  • ✅ Process Isolation: Avoids duplicate MCP server spawning
  • ✅ No Conflicts: Claude Code keeps its direct MCP connection
  • ✅ Proven Reliable: HTTP hooks work consistently across platforms
  • ✅ Same Backend: Both HTTP and MCP connect to identical storage (Cloudflare/SQLite)

Investigation Results:

MCP Protocol Issues (Both macOS & Linux):

  • Duplicate Processes: Hooks spawn separate MCP servers (12+ processes observed)
  • TaskGroup Errors: Conflicts with Claude Code's existing MCP connection
  • Resource Waste: Multiple server instances accessing same backend

HTTP Protocol Benefits:

  • Clean Architecture: Hooks → HTTP → Memory Service ← MCP ← Claude Code
  • Stable Performance: No process conflicts or connection issues
  • Easy Debugging: Standard HTTP logs and error handling

Technical Note: The dual protocol design exists for future MCP client improvements (connection reuse, useExistingServer), but current limitations make HTTP-only the optimal choice.


Version History

v7.1.4 (Current - 2025-09-28)

  • ✅ Unified cross-platform Python installer
  • ✅ Intelligent JSON configuration merging
  • ✅ Enhanced safety with atomic installations
  • ✅ Comprehensive migration documentation

v7.1.3 (2025-09-25)

  • ✅ Mid-conversation hooks implementation
  • ✅ Dual protocol support (MCP + HTTP)
  • ✅ Enhanced performance profiles
  • ✅ Git-aware context integration

v7.1.0 (2025-09-20)

  • ✅ Natural Memory Triggers with 85%+ accuracy
  • ✅ Multi-tier processing architecture
  • ✅ CLI management system
  • ✅ Adaptive learning capabilities

v6.0.0 (2025-09-01)

  • ✅ Initial memory hooks implementation
  • ✅ Session start/end events
  • ✅ Basic project detection

Migration Guide

From Legacy Shell Scripts (pre-v7.1.4)

# Old method (deprecated)
./install.sh
./install-natural-triggers.sh

# New method (v7.1.4+)
python install_hooks.py --natural-triggers

From Basic Hooks to Natural Triggers

  1. Backup current setup: cp -r ~/.claude/hooks ~/.claude/hooks.backup
  2. Install Natural Triggers: python install_hooks.py --natural-triggers
  3. Verify: node ~/.claude/hooks/memory-mode-controller.js status
  4. Remove backup: rm -rf ~/.claude/hooks.backup (after confirming it works)

From v7.1.0 to v7.1.4

No action required - v7.1.4 is backwards compatible. Optionally update to unified installer for better cross-platform support.


Support & Resources


Note: This guide consolidates information from Memory-Awareness-Hooks-Detailed-Guide.md, Natural-Memory-Triggers-v7.1.0.md, and Claude-Code-v7.1.3-Enhanced-Memory-Hooks.md into a single source of truth. For legacy documentation, see the archive folder.

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