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AG-Kit’s memory system is designed to seamlessly integrate with AI agents, providing automatic context management, persistent knowledge storage, and intelligent memory operations. This guide covers integration patterns, framework-specific implementations, and best practices.

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Integration Overview

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Memory-Agent Workflow

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Core Integration Patterns

1. Automatic Memory Management
  • Agent automatically stores conversation events
  • Context retrieval happens transparently
  • Token limits managed automatically
2. Dual-Layer Memory
  • Short-term: Recent conversation context
  • Long-term: Persistent user knowledge and preferences
3. Intelligent Context Engineering
  • Automatic summarization for long conversations
  • Token-aware context trimming
  • Conversation branching for experimentation

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Framework Integration

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Configuration & Best Practices

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Memory Configuration

// Production configuration
const memory = MySQLMemory.create({
  host: process.env.DB_HOST,
  database: process.env.DB_NAME,
  sessionId: userId,

  // Context engineering
  maxTokens: 8000,
  enableContextManagement: true
});

const agent = new Agent({
  name: 'production-assistant',
  model: provider,
  memory: memory,

  // Memory-aware configuration
  maxContextTokens: 8000,
  memoryRetrievalLimit: 10
});

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Troubleshooting

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Common Integration Issues

Memory Not Persisting Session Isolation Issues

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Next Steps

Short-term Memory

Learn about conversation context management

Long-term Memory

Implement persistent knowledge storage

Session Management

Handle multi-user scenarios

API Reference

Complete API documentation