The memory layer for Personalized AI
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Updated
Aug 19, 2024 - Python
The memory layer for Personalized AI
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My implementation of autogen and memgpt agents that work together to create simple scripts and help plan out larger projects.
CivAgent is an LLM-based Human-like Agent acting as a Digital Player within the Strategy Game Unciv.
This is a basic workflow with CrewAI agents working with sales transactions to draw business insights and marketing recommendations. The agents will work on everything from the execution plan to the business insights report. It works with local LLM via Ollama (I'm using llama3:8B but you can easily change it).
A Tic-Tac-Toe game with a Python AI opponent using the Minimax algorithm, featuring a GUI built with Pygame.
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