litanlitudan/skyagi
A Python package implementing Generative Agents for simulating believable human-like NPC behaviors in role-playing games using LLMs.
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SkyAGI uses large language models to create autonomous agents that exhibit believable human-like behavior patterns. The project implements the Generative Agents architecture, where AI NPCs generate contextually appropriate responses in interactive game scenarios. Users can use pre-built character configurations from popular media franchises or define custom characters via JSON files. The system is built on LangChain for LLM orchestration and provides a role-playing game interface demonstrating LLM emergent capabilities in human behavior simulation.
Frequently asked
- What is litanlitudan/skyagi?
- A Python package implementing Generative Agents for simulating believable human-like NPC behaviors in role-playing games using LLMs.
- Is skyagi open source?
- Yes — litanlitudan/skyagi is open source, released under the Apache-2.0 license.
- What language is skyagi written in?
- litanlitudan/skyagi is primarily written in TypeScript.
- How popular is skyagi?
- litanlitudan/skyagi has 777 stars on GitHub.
- Where can I find skyagi?
- litanlitudan/skyagi is on GitHub at https://github.com/litanlitudan/skyagi.