thClaws
Open source AI agent harness in native Rust - GUI, CLI, webapp from one binary
ai-text-detector — проект с открытым исходным кодом из категории «Локальные LLM» от lynote-ai (lynote-ai/ai-text-detector на GitHub). У него 446 звёзд на GitHub и 18 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 5 августа 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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Другие проекты из категории «Локальные LLM» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если ai-text-detector вам не подходит.
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Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.