Neva

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About

I am building an open-source Python library for agent-based modeling and simulation using large language models. This library aims to make LLM agent-based modeling more accessible for areas like research, education, and game development.

Impact

By providing an accessible platform for agent-based modeling, this library can enable researchers to better understand emergent behaviors and human-AI cooperation, offer educators interactive tools to engage students in AI and systems thinking.

Progress

I have built a solid foundation for the AI agent library, with core classes for agents, tools, environments, and schedulers. Initial implementations leverage popular LLMs like GPT-3 for key functionality.

Team

With a background in both software development and sociology, I bring a unique perspective to the creation of this AI agent library. My experience as a Python developer equips me with the technical skills required to architect and implement it.

Funding

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Leaderboard page (offline): https://artizen.fyi/projects/neva
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Not recovered: creator, tags, links, funding, drives, submissions, snapshot. Sources: "snapshot" = verbatim Internet Archive page · "platform metadata" = archived artizen.fund page metadata · "leaderboard" = the artizen.fyi public accounting tables · "match catalog" = the platform's public fund-matching catalog (captured 2026-10-15, generated 2026-09-07) · "community catalog" = a June 2026 platform scrape preserved in a community repo.