Neo4j Agent Memory
Provides AI agents with memory management tools to store, recall, and connect information within a Neo4j knowledge graph.
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This specialized server empowers AI agents with a robust external memory system, leveraging the power of Neo4j knowledge graphs. It offers a suite of simple, atomic tools for persistent memory storage, semantic relationship creation, and intelligent search capabilities, allowing the Large Language Model (LLM) to handle the complex reasoning and inference. This design ensures maximum flexibility and adaptability, as improvements in LLM capabilities directly enhance the system's memory management, enabling agents to build and traverse rich, context-aware knowledge networks to discover deeper insights.
Características Principales
- Persistent Memory Storage across conversations
- Graph Exploration for discovering connected information
- Intelligent Natural Language Search with context-awareness
- 51 GitHub stars
- LLM-Optimized Atomic Memory Operations
- Semantic Relationship Creation between memories
Casos de Uso
- Enabling AI agents to infer and traverse complex relationships between entities for advanced understanding
- Building and managing a dynamic knowledge graph for AI agent context and reasoning
- Equipping AI agents with long-term memory for recall and learning
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