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Synaptic

Decentralized AI Memory Connection Protocol - Making AI Truly Yours. A revolutionary protocol that gives you complete control over your AI memories and interactions across all platforms.

Install / Use

/learn @Synaptic-MCP/Synaptic
About this skill

Quality Score

0/100

Supported Platforms

Zed

README

<div align="center">

🧠 Synaptic - Decentralized MCP

</div> <div align="center"> <img src="./assets/logo.png" alt="Synaptic Logo" width="200" height="200"> </div> <div align="center">

Version License Node.js TypeScript Docker API

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🚀 Making AI Truly Yours - A revolutionary decentralized protocol that gives you complete control over your AI memories and interactions across all platforms.

🌟 What is Synaptic?

Synaptic is the world's first Decentralized MCP that solves the fundamental problem of AI memory fragmentation. Instead of your conversations and insights being trapped in isolated AI platforms, Synaptic creates a unified, encrypted, and user-owned memory layer that works across all AI tools.

🎯 Core Problems We Solve

  • 🔗 Memory Fragmentation: Your AI conversations are scattered across different platforms
  • 👤 Data Ownership: You don't control your AI interaction data
  • 🔒 Privacy Concerns: Your sensitive conversations are stored on corporate servers
  • 🧠 Context Loss: AI tools can't learn from your previous interactions on other platforms
  • 💰 No Incentives: You don't get rewarded for contributing quality data to AI ecosystems

✨ Key Features

🔐 Privacy-First Architecture

  • End-to-end encryption with AES-256-GCM
  • Local-first storage - your data stays on your devices
  • Zero-knowledge architecture - we can't see your data even if we wanted to
  • Granular privacy controls with 4-level privacy system

🤖 Universal AI Integration

  • Claude (Anthropic) - Full conversation memory extraction
  • OpenAI (GPT) - Complete interaction history
  • Google Gemini - Native integration support
  • Cursor - Development conversation memory
  • Windsurf - AI coding assistant integration
  • Custom APIs - Extensible adapter framework

🧠 Intelligent Memory Management

  • Semantic search with vector embeddings
  • Automatic categorization of memories by type and context
  • Quality assessment with AI-powered scoring
  • Smart context injection for relevant memory retrieval
  • Cross-platform memory synthesis

💰 Token Economics & Rewards

  • $SYNA Token - Native ecosystem currency on Solana
  • Quality-based mining - earn tokens for valuable contributions
  • Decentralized governance - token holders control protocol evolution

🏗️ System Architecture

📊 High-Level Architecture Diagram

graph TB
    subgraph "User Interface Layer"
        A[Desktop App<br/>Electron] 
        B[Mobile App<br/>React Native]
        C[Browser Extension<br/>Chrome/Firefox]
        D[Web Dashboard<br/>React]
    end
    
    subgraph "API Gateway Layer"
        E[REST API Server<br/>Express.js]
        F[WebSocket Server<br/>Socket.io]
        G[Rate Limiter<br/>Redis]
        H[Authentication<br/>JWT]
    end
    
    subgraph "Core Protocol Layer"
        I[MemoryConnectionProtocol<br/>Central Orchestrator]
        J[CrossMindBridge<br/>AI Integration]
        K[PrivacyGuard<br/>Encryption & Privacy]
        L[MemoryMiner<br/>Token Mining]
    end
    
    subgraph "Storage Layer"
        M[MemoryVault<br/>Encrypted Storage]
        N[Vector Database<br/>Semantic Search]
        O[Cache Layer<br/>Redis/Memory]
        P[Backup System<br/>IPFS]
    end
    
    subgraph "Blockchain Layer"
        Q[Solana Network<br/>$SYNA Token]
        R[Smart Contracts<br/>Rust/Anchor]
        S[Mining Rewards<br/>Quality Assessment]
    end
    
    subgraph "External AI Platforms"
        T[Claude API<br/>Anthropic]
        U[OpenAI API<br/>GPT Models]
        V[Gemini API<br/>Google]
        W[Custom APIs<br/>Extensible]
    end
    
    A --> E
    B --> E
    C --> E
    D --> E
    
    E --> G
    E --> H
    E --> F
    
    G --> I
    H --> I
    F --> I
    
    I --> J
    I --> K
    I --> L
    I --> M
    
    M --> N
    M --> O
    M --> P
    
    L --> Q
    L --> R
    L --> S
    
    J --> T
    J --> U
    J --> V
    J --> W

🔧 Core Components Architecture

1. 🧠 MemoryConnectionProtocol (Central Orchestrator)

// Location: src/core/MemoryConnectionProtocol.ts (498 lines)
class MemoryConnectionProtocol {
  private memoryVault: MemoryVault;
  private crossMindBridge: CrossMindBridge;
  private privacyGuard: PrivacyGuard;
  private memoryMiner: MemoryMiner;
  
  // Core memory operations
  async createMemory(content: string, type: MemoryType, category: MemoryCategory): Promise<Memory>
  async searchMemories(query: string, options?: SearchOptions): Promise<Memory[]>
  async processAIInteraction(platform: AIPlatform, prompt: string, response: AIResponse): Promise<void>
  async getMemoryStats(): Promise<MemoryStats>
}

2. 🗄️ MemoryVault (Intelligent Storage)

// Location: src/storage/MemoryVault.ts (428 lines)
class MemoryVault {
  private storage: StorageAdapter;
  private encryption: EncryptionService;
  private vectorSearch: VectorSearchEngine;
  
  // Storage operations with encryption
  async storeMemory(memory: Memory): Promise<string>
  async retrieveMemory(id: string): Promise<Memory | null>
  async searchSemantic(query: string, options: SearchOptions): Promise<SearchResult[]>
  async updateMemory(id: string, updates: Partial<Memory>): Promise<Memory>
}

3. 🌉 CrossMindBridge (AI Integration)

// Location: src/ai/CrossMindBridge.ts (290 lines)
class CrossMindBridge {
  private adapters: Map<AIPlatform, AIAdapter>;
  
  // AI platform integration
  async processInteraction(platform: AIPlatform, interaction: AIInteraction): Promise<ProcessedInteraction>
  async extractMemories(conversation: Conversation): Promise<Memory[]>
  async injectContext(platform: AIPlatform, memories: Memory[]): Promise<ContextInjection>
}

4. 🛡️ PrivacyGuard (Security & Privacy)

// Location: src/privacy/PrivacyGuard.ts (258 lines)
class PrivacyGuard {
  private encryption: EncryptionService;
  private anonymizer: AnonymizationService;
  
  // Privacy protection
  async encryptMemory(memory: Memory): Promise<EncryptedMemory>
  async anonymizeContent(content: string): Promise<AnonymizedContent>
  async detectPII(text: string): Promise<PIIDetectionResult>
}

🔄 Data Flow Architecture

📈 Memory Creation Flow

sequenceDiagram
    participant U as User
    participant API as API Server
    participant MCP as MemoryConnectionProtocol
    participant PG as PrivacyGuard
    participant MV as MemoryVault
    participant VS as VectorSearch
    participant BC as Blockchain
    
    U->>API: POST /api/memory
    API->>API: Validate Request
    API->>MCP: createMemory()
    MCP->>PG: encryptMemory()
    PG->>PG: Detect PII
    PG->>PG: Apply Encryption
    PG-->>MCP: Encrypted Memory
    MCP->>MV: storeMemory()
    MV->>VS: Generate Embeddings
    VS-->>MV: Vector Embeddings
    MV->>MV: Store to Database
    MV-->>MCP: Memory ID
    MCP->>BC: Mine Quality Score
    BC-->>MCP: Mining Result
    MCP-->>API: Created Memory
    API-->>U: HTTP 201 Response

🔍 Memory Search Flow

sequenceDiagram
    participant U as User
    participant API as API Server
    participant MCP as MemoryConnectionProtocol
    participant MV as MemoryVault
    participant VS as VectorSearch
    participant Cache as Cache Layer
    
    U->>API: GET /api/memory/search?query=...
    API->>API: Validate & Rate Limit
    API->>MCP: searchMemories()
    MCP->>Cache: Check Cache
    alt Cache Hit
        Cache-->>MCP: Cached Results
    else Cache Miss
        MCP->>MV: searchSemantic()
        MV->>VS: Vector Search
        VS->>VS: Similarity Calculation
        VS-->>MV: Ranked Results
        MV->>MV: Apply Privacy Filters
        MV-->>MCP: Filtered Results
        MCP->>Cache: Store Results
    end
    MCP-->>API: Search Results
    API-->>U: HTTP 200 Response

🤖 AI Interaction Processing Flow

sequenceDiagram
    participant AI as AI Platform
    participant CMB as CrossMindBridge
    participant MCP as MemoryConnectionProtocol
    participant MV as MemoryVault
    participant MM as MemoryMiner
    participant BC as Blockchain
    
    AI->>CMB: New Interaction
    CMB->>CMB: Extract Memories
    CMB->>MCP: processAIInteraction()
    MCP->>MV: Store Interaction
    MCP->>MM: Assess Quality
    MM->>MM: AI Quality Analysis
    MM->>BC: Submit for Mining
    BC->>BC: Validate & Mine
    BC-->>MM: Mining Rewards
    MM-->>MCP: Quality Score
    MCP->>MV: Update Memory Quality
    MCP-->>CMB: Processing Complete
    CMB-->>AI: Context Injection

🛠️ Technical Implementation

🔧 Core Technology Stack

| Layer | Technology | Purpose | |-------|------------|---------| | Frontend | React, Electron, React Native | Multi-platform user interfaces | | Backend | Node.js, Express.js, TypeScript | API server and business logic | | Database | SQLite, PostgreSQL, Redis | Data storage and caching | | Search | Vector embeddings, Semantic search | Intelligent memory retrieval | | Blockchain | Solana, Rust, Anchor | Token economics and mining | | AI Integration | OpenAI, Anthropic, Google APIs | Multi-platform AI support | | Security | AES-256-GCM, JWT, bcrypt | Encryption and authentication | | DevOps | Docker, Docker Compose | Containerization and deployment |

📁 Project Structure

synaptic/
├── 📁 src/                          # Source code
│   ├── 📁 core/                     # C
View on GitHub
GitHub Stars36
CategoryDevelopment
Updated6d ago
Forks5

Languages

TypeScript

Security Score

95/100

Audited on Mar 30, 2026

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