The project controls a Minecraft Java 1.16.5 player through Mineflayer, using a separate model for planning and Jev for player actions. Configure the model relay and local runtime paths, install dependencies, start the vanilla server, and launch the documented nether-agent workflow.
gg-friggin-ez: Fast, drop-in multilingual profanity and toxicity
ItisShikhar/gg-friggin-ez
VerifiedJev applicationDocumented
gg-friggin-ez: Fast, drop-in multilingual profanity and toxicity screener for Node.js, powered by System 1 models like TypeSafe AI Jev and Laya. See Jev references and source code.
Repository description: Fast, drop-in multilingual profanity and toxicity screener for Node.js, powered by System 1 models like TypeSafe AI Jev and Laya. Catches leetspeak, character spacing, and romanized profanity across languages including Kannada, Telugu, Tamil, Hindi, and Bengali. ~50-500ms latency.
Get started
Clone the repository and follow its README for install and usage. JevHunt has not run this project.
git clone https://github.com/ItisShikhar/gg-friggin-ez.gitProject facts
- Relationship to Jev
- Jev application
- Evidence
- Documented
- Language
- TypeScript
- License
- MIT
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-19
- Last code update
- 2026-09-22
- GitHub stars
- 7
- Evidence checked
- Sep 29, 2026
- Metadata checked
- Sep 29, 2026
- Check status
- Up to date
Stars measure the whole repository, including work unrelated to Jev.
Evidence and scope
Documented records the linked documentation or source. JevHunt has not independently run or benchmarked this project.
apiKey: "sk-or-...", // default: OPENROUTER_API_KEY, TYPESAFE_API_KEY, or JEV_KEY env var
Evidence commit: f605314fdbcedfdc1d137832c64500e36d38dda3
Discovered through: awesome-jev.
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