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PROTOCOL MEMORY
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Quick Start Guide
New to Synaptic? Start here for a guided introduction
1. Understanding Synaptic
Discover the fundamentals of Synaptic AI Memory System. Learn how our revolutionary Memory Control Protocol (MCP) enables persistent AI memory across platforms and sessions.
- • Core concepts and architecture
- • Memory types and classification
- • Cross-platform compatibility
- • Security and privacy features
2. API Integration
Connect your applications seamlessly with our comprehensive APIs. From simple memory operations to advanced agent synchronization, we provide all the tools you need.
- • RESTful API endpoints
- • WebSocket real-time sync
- • Authentication & security
- • SDKs for multiple languages
3. Advanced Features
Unlock the full potential of AI memory with advanced features like cross-agent synchronization, neural memory architectures, and intelligent memory consolidation.
- • Cross-agent memory sync
- • Neural memory networks
- • Intelligent retrieval
- • Memory analytics & insights
Quick Reference
Essential commands and examples
pip install synaptic-sdkInstall Python SDK
npm install @synaptic/sdkInstall JavaScript SDK
Need Help?
Resources and support options
API Code Examples
Authentication
Initialize and authenticate with Synaptic API
import synaptic
# Initialize client
client = synaptic.Client(
api_key="your_api_key",
base_url="https://api.synaptic.ai"
)
# Authenticate
response = client.auth.login()
print(f"Status: {response.status}")import { SynapticClient } from '@synaptic/sdk';
const client = new SynapticClient({
apiKey: process.env.SYNAPTIC_API_KEY,
baseURL: 'https://api.synaptic.ai'
});
const auth = await client.auth.login();
console.log('Authenticated:', auth.success);Memory Operations
Store and retrieve memories
# Store a new memory
memory = client.memory.create({
"content": "User prefers dark mode",
"type": "preference",
"tags": ["ui", "settings"],
"metadata": {
"timestamp": "2024-01-15T10:30:00Z",
"confidence": 0.95
}
})
print(f"Memory ID: {memory.id}")# Search memories
results = client.memory.search({
"query": "user preferences",
"limit": 10,
"filters": {
"type": "preference",
"tags": ["ui"]
}
})
for memory in results:
print(f"Found: {memory.content}")Agent Synchronization
Sync memories across AI agents
# Initialize agent sync
agent_sync = client.agents.sync({
"agent_id": "chatgpt-assistant",
"sync_mode": "bidirectional",
"filters": {
"categories": ["conversation", "preferences"]
}
})
# Listen for sync events
@agent_sync.on('memory_updated')
def handle_memory_update(event):
print(f"Memory synced: {event.memory_id}")
# Start synchronization
agent_sync.start()Real-time Updates
Subscribe to memory changes
// JavaScript WebSocket example
const ws = new WebSocket('wss://api.synaptic.ai/ws');
ws.onopen = () => {
// Subscribe to memory updates
ws.send(JSON.stringify({
type: 'subscribe',
channel: 'memory_updates',
filters: { user_id: 'current_user' }
}));
};
ws.onmessage = (event) => {
const data = JSON.parse(event.data);
if (data.type === 'memory_created') {
console.log('New memory:', data.memory);
}
};API Endpoints Quick Reference
Authenticate user
List memories
Create memory
Agent sync status
Authentication: Bearer token in Authorization header
Rate Limits: 1000 requests/hour for free tier, unlimited for enterprise
Memory Control Protocol (MCP) Specification
Complete technical specification for the Memory Control Protocol, including data structures and communication patterns.
Cross-Agent Memory Synchronization
Technical documentation for synchronizing memory states across multiple AI agents while maintaining data integrity.
Synaptic Security Architecture
Comprehensive security model including encryption protocols, access controls, and threat mitigation strategies.
Synaptic API Reference
Complete API documentation with endpoints, authentication, rate limits, and code examples.
Platform Integration Guide
Step-by-step guide for integrating Synaptic with existing AI platforms and frameworks.
Neural Memory Architecture
Research documentation on the underlying neural network architectures powering Synaptic memory systems.
Developer Tools & SDKs
Documentation for development tools, SDKs, testing frameworks, and debugging utilities.
What is MCP? (Memory Control Protocol)
Comprehensive introduction to Memory Control Protocol (MCP) - the foundational technology enabling AI agent memory management and synchronization.
The Rise and Challenges of MCP
Exploring the evolution of Memory Control Protocol, current adoption challenges, and the path forward for widespread AI memory standardization.
MCP Implementation Guide
Practical guide for implementing Memory Control Protocol in AI systems, including best practices and real-world considerations.