Definition and Core Functions of Core Tools
Core is an open source memory storage system designed specifically for Large Language Models (LLMs) developed by the RedPlanetHQ team. Its core function is to help users preserve and manage data from interactions with large models by building structured memory maps. This tool addresses the general lack of persistent memory in LLMs and allows users to build private, queryable knowledge base systems.
Main Functional Features
- Memory storage mechanisms: Data such as text, dialogues, etc. can be transformed into structured memory nodes
- Knowledge Graph Generation: Automatic processing of inputs and creation of correlations
- visualization interface: Provides an intuitive dashboard to manage memory nodes
- Deployment flexibility: Supports both local and cloud deployment
- Model Integration Capabilities: Seamless integration with a wide range of mainstream macromodels
Technical realization principle
Core runs through a Node.js environment and uses API calls to interact with large models. Its underlying implementation includes a memory processing queue (processing queue) and log monitoring system to ensure reliable storage and traceability of data. The open source nature of the project allows developers to customize features and optimize algorithms.
This answer comes from the articleCore: a tool for personalized memory storage for large modelsThe
