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The universe-starter-agent repository is an archived OpenAI codebase designed as a starter reinforcement-learning agent that can interact with and solve tasks in OpenAI’s Universe environment platform. Its purpose is to serve as a baseline or reference implementation so researchers or developers can see how to build agents that operate in real-time, visual environments (e.g., games, browser apps) via pixel observations and keyboard/mouse actions. Under the hood, this starter agent implements...

A library for implementing GOAP in an AI agent. Based on pygoap v3 by Leif Theden et al. Updated code to work without having pygame installed, bug-fixed functions to make them implement the behaviors that were expected, and implemented desired behaviors so that the Pirate demo works properly for all known actions and goals.

BindAI is an open-source, opinionated Python framework for building, composing, and running AI agents and agentic workflows. It provides a structured application architecture for tools, memory, knowledge and RAG, model providers, integrations, APIs, and project-based organization. BindAI is designed for Python developers building AI applications, agent systems, and multi-step workflows.