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This project is a concept demonstration of a layered memory system for Large Language Models. It includes a CLI chatbot and an AI playing Zork I with 'FROTZ' as examples. The true value lies in the memory_handle.py module, designed for easy integration into any Python project requiring LLM memory management (AI agents, games, etc.).
A flexible and extensible framework for creating AI-powered development agents. This framework provides the foundation for building intelligent coding assistants that can help with various development tasks.
MindForge is a Python library designed to provide sophisticated memory management capabilities for AI agents and models. It combines vector-based similarity search, concept graphs, and multi-level memory structures (short-term, long-term, user-specific, session-specific, and agent-specific) to enable more context-aware and adaptive AI responses.
A simple example of an AI agent and a LangGraph with AI agent that can understand natural language queries about planet masses and perform calculations in scientific notation. Built as a demonstration of basic AI agent architecture with skills, prompts, and testing.