Long-term Memory

Long-term memory in AG-Kit enables agents to remember information across conversations and sessions. It provides persistent storage with semantic search, automatic memory extraction, and intelligent consolidation capabilities.

​

Overview

Long-term memory stores:

• Persistent facts - Information that should be remembered indefinitely
• User preferences - Personal settings and choices
• Historical context - Past interactions and decisions
• Domain knowledge - Learned information and insights
• Relationships - Connections between concepts and entities

Unlike short-term memory (conversation history), long-term memory focuses on extracting and storing meaningful information that transcends individual conversations.

​

Memory Implementations

AG-Kit provides multiple long-term memory implementations:

​

Mem0LongTermMemory

Official Mem0 SDK integration with advanced AI-powered memory management. Features:

• Automatic memory extraction from conversations
• Semantic search with vector embeddings
• Graph-based memory relationships
• Intelligent memory consolidation
• Deduplication and merging
• Memory decay and reinforcement
• Multi-user and multi-agent support

Use Cases:

• Production AI applications
• Personalized user experiences
• Knowledge management systems
• Multi-session conversations

​

TDAILongTermMemory

TDAI cloud-based long-term memory with enterprise features. Features:

• Cloud-based persistent storage
• Semantic search capabilities
• Strategy-based memory organization
• Scalable infrastructure
• Enterprise-grade reliability

Use Cases:

• Enterprise deployments
• Large-scale applications
• Distributed systems

​

Quick Start

​

Using Mem0LongTermMemory

​

Manual Memory Recording

​

Core Operations

​

Recording Memories

Store new memories in long-term storage.

​

Retrieving Memories

Query memories with various filters and search options.

​

Semantic Search

Find memories using natural language queries with semantic understanding.

​

Updating Memories

Modify existing memories with new information.

​

Deleting Memories

Remove memories by ID or query conditions.

​

Advanced Features

​

Automatic Memory Extraction ( Mem0 Only )

Mem0 automatically extracts meaningful information from conversations.

​

Related Memories

Find memories related to a specific memory using graph-based relationships.

​

Memory Consolidation ( Mem0 Only )

Automatically deduplicate, merge, and optimize stored memories.

​

Integration with Agents

Long-term memory integrates with agents for persistent, cross-session knowledge. Learn more: Complete Agent Integration Guide

​

Best Practices

​

1. Use Appropriate Strategies

Organize memories with meaningful strategies:

​

2. Add Rich Metadata

Include contextual information in metadata:

​

3. Use Semantic Search

Take advantage of semantic search for better retrieval:

​

Performance Considerations

​

Mem0LongTermMemory

• Automatic Optimization: Mem0 handles deduplication and consolidation
• Semantic Search: Fast vector-based similarity search
• Scalability: Handles millions of memories efficiently
• Network Latency: Requires API calls to Mem0 service
• Caching: Consider caching frequently accessed memories

​

Query Optimization

​

Comparison: Short-term vs Long-term Memory

​

Next Steps