Graph Memory
Manages a persistent, indexed knowledge graph, enabling AI agents to store, retrieve, and organize information through entities, relationships, and observations.
Acerca de
Graph Memory provides a robust and persistent memory layer specifically designed for AI agents operating on MCP-compatible platforms. It allows AI models to construct and interact with a knowledge graph, capturing entities, their relationships, and relevant observations. The system features a critical 'main' database that acts as a core index, ensuring the AI always has access to essential information and routing details for other specialized 'contexts'. This modular approach enables AI agents to maintain organized, topic-specific memories while preserving a foundational understanding of their operational landscape.
Características Principales
- 0 GitHub stars
- Persistent, indexed knowledge graph for AI agents
- Integrated safety system with file markers to prevent data corruption
- Context-based memory organization for specialized topics
- AI agent tools for creating, querying, and managing graph elements
- Core 'main' database for indexing and critical information
Casos de Uso
- Providing persistent long-term memory for AI agents
- Enabling AI agents to build and query a structured knowledge graph
- Organizing an AI agent's information into specialized contexts for different tasks or topics