by onjas-6 · Agent Tool · ★ 42
Demo Learn more Thesis We are building what we call an “automatic world” with AI-based agents in a fully open, composable on-chain world. User can participate in the game in 2 ways: Build their own intelligent LLM agents. This is as simple as write a few lines of natural language to define the character, mindset, or ideology of the LLM-based agent. Based on our prompt template, the agent will be able to achieve fully autonomous action in the on-chain world. Co-build the on-chain world the agents live on.
| Stars | 42 |
| Forks | 11 |
| Language | Python |
| Category | Agent Tool |
| License | Unlicense |
| Quality Score | 49.7909008104544/100 |
| Open Issues | 1 |
| Last Updated | 2023-09-01 |
| Created | 2023-04-26 |
| Platforms | python |
| Est. Tokens | ~56k |
These tools work well together with LLM-agent-game for enhanced workflows:
Explore other popular agent tool tools:
LLM-agent-game is LLM-based autonomous world. It is categorized as a Agent Tool with 42 GitHub stars.
LLM-agent-game is primarily written in Python.
You can find installation instructions and usage details in the LLM-agent-game GitHub repository at github.com/onjas-6/LLM-agent-game. The project has 42 stars and 11 forks, indicating an active community.
LLM-agent-game is released under the Unlicense license, making it free to use and modify according to the license terms.