LLM locaux
thClaws
Open source AI agent harness in native Rust - GUI, CLI, webapp from one binary
★ 1,2 k étoilesApache-2.0
Voir le guide →TrustLLM est un projet de LLM locaux open source, créé par HowieHwong (HowieHwong/TrustLLM sur GitHub). Il compte 633 étoiles sur GitHub et 68 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 4 octobre 2026.
[ICML 2024] TrustLLM: LLM trustworthiness evaluation across truthfulness, safety
Clone HowieHwong/TrustLLM 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.
Built around artificial intelligence from the ground up.
Built for autonomous AI agent workflows.
Includes benchmarks to measure model quality.
Ships with datasets.
Model evaluation workflows.
Hallucination measurement.
Download the source and move into the project folder.
git clone https://github.com/HowieHwong/TrustLLM.git
cd TrustLLMSet 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.
The app itself is free; cloud models need your own API key and are billed by the provider. Local models cost nothing to run.
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 2026-10-04 with 68 forks. Skim recent commits to gauge momentum before relying on it.
Open source AI agent harness in native Rust - GUI, CLI, webapp from one binary
Dreaming explorable worlds: local AI assistant.
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.