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Memento Protocol Enhanced

by lbruton

Memento Protocol Enhanced

An enhanced wrapper around memento-mcp that adds sophisticated memory management capabilities inspired by the original ChatGPT memory design concepts.

🌟 Features

šŸ”’ Protocol Memory System

  • Rule Enforcement Outside LLM: Protocols are enforced deterministically, not subject to model forgetfulness

  • YAML Configuration: Easy-to-edit protocol definitions

  • Auto Git Backup: Automatic version control before file modifications

  • Extensible Actions: Git operations, file system actions, API calls

šŸŽÆ Quality Management

  • Two-Stage Filtering: Heuristic + LLM validation for accuracy

  • Confidence Scoring: Tracks reliability of memories

  • Freshness Decay: Automatic aging and archival of old memories

  • Archival Tiers: Hot/Warm/Cold storage based on usage and age

šŸ” Enhanced Search (Hybrid Recall)

  • Multiple Strategies: Semantic vector, keyword matching, temporal relevance, confidence weighting

  • Hybrid Scoring: Combines multiple search approaches for better results

  • Quality Filtering: Filters results by confidence and relevance thresholds

  • Search Metadata: Detailed information about search process and results

šŸ“– "Ask the Scribe" Synthesis Reports

  • Memory Synthesis: Combines related memories into coherent summaries

  • Insight Extraction: Identifies key patterns and connections

  • Confidence Tracking: Rates the reliability of synthesized information

  • Query-Focused: Tailored responses to specific questions

šŸ”§ Wrapper Architecture

  • Preserves Compatibility: Works as a drop-in replacement for memento-mcp

  • Upstream Safe: Doesn't fork memento-mcp, wraps it instead

  • Optional Features: All enhancements can be enabled/disabled

  • Graceful Fallbacks: Falls back to basic functionality if enhancements fail

Related MCP server: Memory Custom

šŸš€ Quick Start

Installation

npm install

Basic Usage

const { MementoWrapper } = require('./src/memento-wrapper'); // Initialize with all enhancements const memento = new MementoWrapper({ enableProtocols: true, enableQualityManagement: true, enableEnhancedSearch: true }); await memento.initializeComponents(); // Create entities with protocol enforcement await memento.createEntity('MyProject', 'project'); // Add observations with quality scoring await memento.addObservation( 'MyProject', 'Implemented enhanced memory wrapper with protocol enforcement', { category: 'development', priority: 'high' } ); // Enhanced search with hybrid strategies const results = await memento.searchMemories('memory wrapper architecture'); // Generate synthesis reports const synthesis = await memento.generateSynthesisReport( 'What are the key features of this memory system?' );

Run Example

node example.js

šŸ“‹ Protocol System

Protocols are defined in YAML files and enforce rules automatically:

# protocols/backup-before-write.yaml name: backup-before-write description: Auto git backup before file modifications priority: 90 triggers: tools: ['writeFile', 'applyPatch', 'refactor'] conditions: - field: 'args.path' operator: 'exists' actions: - type: 'git' operation: 'add' args: ['.'] - type: 'git' operation: 'commit' args: ['-m', 'Auto backup before ${context.toolName}']

šŸŽÆ Quality Management

The quality system addresses six failure modes identified in basic memory systems:

  1. Noise Accumulation: Filters low-quality information

  2. Confidence Erosion: Tracks reliability over time

  3. Retrieval Brittleness: Multiple search strategies for robustness

  4. Temporal Confusion: Time-aware relevance scoring

  5. Context Loss: Preserves rich metadata and relationships

  6. Scale Degradation: Efficient archival and tier management

šŸ” Search Strategies

The hybrid search system combines multiple approaches:

  • Semantic Vector: Embedding-based similarity search

  • Keyword Matching: Exact term matching with scoring

  • Temporal Relevance: Recent memories weighted higher

  • Confidence Weighted: High-confidence memories prioritized

šŸ“– Synthesis Reports

"Ask the Scribe" generates comprehensive reports by:

  1. Multi-Strategy Search: Finds relevant memories using all search approaches

  2. Quality Filtering: Removes low-confidence or irrelevant results

  3. Insight Extraction: Identifies patterns and key information

  4. Coherent Synthesis: Combines findings into readable summaries

  5. Confidence Rating: Provides reliability assessment

šŸ—ļø Architecture

The wrapper is built in distinct layers:

ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā” │ MCP Server Layer │ ← Tool handlers, protocol middleware ā”œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”¤ │ Memento Wrapper │ ← Main integration layer ā”œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”¤ │ ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”ā”‚ │ │ Protocol Engine ││ ← Rule enforcement │ ā”œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”¤ā”‚ │ │ Quality Manager ││ ← Scoring, filtering, archival │ ā”œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”¤ā”‚ │ │ Enhanced Search ││ ← Hybrid search strategies │ ā””ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”˜ā”‚ ā”œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”¤ │ memento-mcp │ ← Core functionality (unchanged) ā””ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”˜

šŸ”§ Configuration

const memento = new MementoWrapper({ // Protocol settings enableProtocols: true, protocolsPath: './protocols', // Quality management enableQualityManagement: true, qualityThresholds: { minConfidence: 0.3, freshnessPeriod: 30, // days maxArchiveAge: 90 // days }, // Search configuration enableEnhancedSearch: true, searchOptions: { hybridWeight: 0.7, maxResults: 20, strategies: [ 'semantic_vector', 'keyword_matching', 'temporal_relevance', 'confidence_weighted' ] } });

šŸ“Š MCP Server

The package includes a complete MCP server implementation:

# Start the MCP server npm start # Available tools: # - memory_search_enhanced: Enhanced search with hybrid strategies # - memory_get_full: Retrieve complete memory graph # - protocol_enforce: Manual protocol enforcement # - protocol_list: List available protocols # - scribe_report: Generate synthesis reports

šŸ› ļø Development

Requirements

  • Node.js 18+

  • Git (for protocol auto-backup)

Scripts

npm start # Start MCP server npm test # Run tests (when implemented) npm run example # Run usage example

Adding Protocols

  1. Create YAML file in protocols/ directory

  2. Define triggers, conditions, and actions

  3. Protocol engine loads automatically

Add new search strategies in src/enhanced-search/index.js:

async executeSearchStrategy(strategy, query, options) { switch (strategy) { case 'your_new_strategy': return this.yourNewStrategySearch(query, options); // ... } }

šŸ¤ Integration

With HexTrackr

This wrapper was designed for integration with HexTrackr but works standalone:

// In HexTrackr project const { MementoWrapper } = require('memento-protocol-enhanced'); const memento = new MementoWrapper(/* config */); // Use as drop-in replacement for memento-mcp await memento.createEntity('HexTrackr Feature', 'feature');

With Other Projects

The wrapper preserves full memento-mcp compatibility:

// Existing memento-mcp code works unchanged const memento = new MementoWrapper(); await memento.searchMemories('query'); // Enhanced automatically

šŸŽÆ Original Vision

This implementation realizes the original ChatGPT memory design vision:

"Some of our improvements with how we handle the searching and the semantics might actually be an improvement" - User feedback

The wrapper addresses fundamental limitations in basic memory systems while maintaining simplicity and compatibility.

Failure Modes Addressed

  1. LLM compliance is unreliable → Protocol enforcement outside LLM

  2. Noisy memories from keyword scraping → Two-stage filtering

  3. Memory bloat & drift → Freshness decay + archival tiers

  4. Conflicting protocols → Priority and scope management

  5. Identity & grounding issues → Stable IDs and linkage

  6. Security & PII sprawl → Secret scrubbing and access controls

Core Innovations

  • Hybrid Recall: Symbolic (SQL-like) + Vector (semantic) + Raw transcripts

  • Protocol Memory: Rules enforced deterministically, not stored as "memories"

  • Quality Pipeline: Heuristics → LLM validation → Confidence scoring

  • Archival Strategy: Hot/warm/cold tiers based on adjusted confidence

šŸ“„ License

MIT License - see LICENSE file for details.


Enhanced memory management that learns, improves, and remembers.

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security - not tested
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license - not tested
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quality - not tested

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