Which is more popular, gptrpg or LLM Agents?

LLM Agents has more GitHub stars (1,055 vs 992).

Which is more actively developed, gptrpg or LLM Agents?

gptrpg 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

LLM Agents is growing faster: +2 GitHub stars in the last 30 days vs +0 for gptrpg.
Pick gptrpg for: a demo of an GPT-based agent existing in an RPG-like environment. Pick LLM Agents for: build agents which are controlled by LLMs.

From GitHub data refreshed daily.

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

LLM Agentsopen-source

Build agents which are controlled by LLMs

+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

+Educational transparency with minimal abstraction layers for understanding agent mechanics
+Easy customization and extension with simple tool integration API
+Lightweight codebase that's easy to modify and debug

-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

-Limited built-in tools compared to comprehensive frameworks like LangChain
-Requires manual setup of API keys for OpenAI and optional SERPAPI services
-Lacks advanced features like memory management, conversation history, or production optimizations

•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

•Learning how LLM agents work by studying and modifying a simple implementation
•Rapid prototyping of custom agent workflows with specific tool combinations
•Building educational demos or simple automation tasks where transparency matters more than features

Which is more popular, gptrpg or LLM Agents?: LLM Agents has more GitHub stars (1,055 vs 992).
Which is more actively developed, gptrpg or LLM Agents?: gptrpg had more commits in the last 90 days (0 vs 0).
Should I use gptrpg or LLM Agents?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.