Which is more popular, Generative Agents or gptrpg?

Generative Agents has more GitHub stars (22,185 vs 992).

Which is more actively developed, Generative Agents or gptrpg?

Generative Agents had more commits in the last 90 days (0 vs 0).

Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.

Side-by-side comparison of two AI agent tools

Generative Agents is growing faster: +188 GitHub stars in the last 30 days vs +0 for gptrpg.
Pick Generative Agents for: generative Agents: Interactive Simulacra of Human Behavior. Pick gptrpg for: a demo of an GPT-based agent existing in an RPG-like environment.

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Generative Agents: Interactive Simulacra of Human Behavior

A demo of an GPT-based agent existing in an RPG-like environment

+Complete working demonstration of LLM integration in a game environment with visual interface
+Uses well-established tools (React, Phaser, Tiled) making it accessible to developers familiar with these technologies
+Open-source proof-of-concept that provides a concrete starting point for AI agent experimentation in gaming contexts

-Limited to local deployment only, requiring manual setup and OpenAI API key configuration
-Proof-of-concept stage with minimal agent capabilities (only sleepiness tracking and basic movement)
-Currently supports only single agent scenarios with no multi-agent or advanced interaction features

•Educational projects for learning how to integrate LLM APIs with interactive game environments
•Prototyping autonomous AI characters for game development or simulation research
•Demonstrating AI decision-making in constrained environments for academic or commercial presentations

Which is more popular, Generative Agents or gptrpg?: Generative Agents has more GitHub stars (22,185 vs 992).
Which is more actively developed, Generative Agents or gptrpg?: Generative Agents had more commits in the last 90 days (0 vs 0).
Should I use Generative Agents or gptrpg?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.