DAI
Provides an external memory system for AI models using a Neo4j graph database to store and query interconnected knowledge.
소개
The DAI server functions as a Model Context Protocol (MCP) server, integrating with Neo4j to serve as a persistent neural network memory core for AI models. It organizes information as cybernetic graph structures, where entities are 'Memory' nodes and relationships are 'Relationship' pathways. This enables long-term knowledge retention, complex relationship analysis, and tactical insight generation through Cypher queries, enhancing AI capabilities for tasks like target acquisition and intelligence management.
주요 기능
- Flexible deployment options including local, Docker, and various transport modes (STDIO, HTTP, SSE)
- Establish and sever relationships (pathways) between entities
- Add and purge observations and intelligence data from entity profiles
- Create and delete memory entities (nodes) with classifications and observations
- 1 GitHub stars
- Scan and search the entire neural network for entities and relationships
사용 사례
- Storing and querying interconnected knowledge for tactical insights and decision-making systems
- Providing persistent external memory and knowledge retention for AI agents like Claude Desktop
- Managing complex intelligence networks, such as tracking entities and their relationships
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