by tomasonjo · Agent Tool · ★ 244
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Semantic layer on top of a graph database to provide an LLM with a set of robust tools to interact with the database
| Stars | 244 |
| Forks | 40 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 49.2/100 |
| Open Issues | 3 |
| Last Updated | 2024-04-25 |
| Created | 2024-01-07 |
| Platforms | python |
| Est. Tokens | ~14k |
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llm-movieagent is Semantic layer on top of a graph database to provide an LLM with a set of robust tools to interact with the database. It is categorized as a Agent Tool with 244 GitHub stars.
llm-movieagent is primarily written in Python. It covers topics such as agent, function-calling, langchain.
You can find installation instructions and usage details in the llm-movieagent GitHub repository at github.com/tomasonjo/llm-movieagent. The project has 244 stars and 40 forks, indicating an active community.
llm-movieagent is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to llm-movieagent on Agent Skills Hub include awesome-ai-sdks, flock, npi. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.