LLM local
thClaws
Open source AI agent harness in native Rust - GUI, CLI, webapp from one binary
★ 1,2k estrellasApache-2.0
Ver la guía →ai-text-detector es un proyecto de LLM local de código abierto de lynote-ai (lynote-ai/ai-text-detector en GitHub). Tiene 446 estrellas en GitHub y 18 bifurcaciones, se publica bajo la licencia MIT y se actualizó por última vez en GitHub el 5 de agosto de 2026.
A cautious, explainable AI-like text risk analysis tool for local workflows and coding
Clone lynote-ai/ai-text-detector and move into the project folder.
Install the Python requirements with pip — a virtual environment keeps things clean.
Choose a local model or add a provider API key.
Run prompts and keep everything under your control.
Tooling for agent developers.
Detects AI-generated content.
Flags likely AI-written text.
Includes benchmarks to measure model quality.
Packaged as a Codex skill.
Explainable results, not black boxes.
Download the source and move into the project folder.
git clone https://github.com/lynote-ai/ai-text-detector.git
cd ai-text-detectorSet up what the project needs to run.
pip install -r requirements.txtStart the app — the README has the exact command and flags.
python main.py # entrypoint varies — check the READMEMIT licensed — free for personal and commercial use.
Clone the repo and pip-install the requirements — the README covers the exact steps.
The GitHub repo's issues and discussions are the main support channel.
Last pushed 2026-08-05 with 18 forks. Skim recent commits to gauge momentum before relying on it.
Yes — it is open source, so issues and pull requests are welcome.
Open source AI agent harness in native Rust - GUI, CLI, webapp from one binary
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Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.