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Open source AI agent harness in native Rust - GUI, CLI, webapp from one binary
TrustLLM ist ein Open-Source-Projekt aus der Kategorie Lokale LLMs von HowieHwong (HowieHwong/TrustLLM auf GitHub). Es hat 633 Sterne auf GitHub und 68 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 4. Oktober 2026 auf GitHub aktualisiert.
[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
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Die anderen Projekte der Kategorie Lokale LLMs mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls TrustLLM nicht das Richtige ist.
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Verwandte Projekte der Kategorie Lokale LLMs im Katalog, die TrustLLM bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.