Local LLM
thClaws
Open source AI agent harness in native Rust - GUI, CLI, webapp from one binary
★ 1.2k starsApache-2.0
View guide →[ICML 2024] TrustLLM: LLM trustworthiness evaluation across truthfulness, safety
TrustLLM is an open-source local llm project by HowieHwong (HowieHwong/TrustLLM on GitHub). It has 633 GitHub stars and 68 forks, is released under the MIT license, and was last updated on GitHub on 4 October 2026.
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.
AI gets the context.
Compile and run LLMs anywhere - phones, laptops, browsers and GPUs - with one engine
A fast LLM inference server for Apple Silicon, managed from the macOS menu bar
Desktop lab for prototyping AI agents — inspect steps, replay failures.
The most-starred other Local LLM projects in the LibreAI catalogue — the realistic shortlist if TrustLLM is not the right fit.
The simplest way to run open language models on your own machine.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
LLM inference in C/C++
A high-throughput and memory-efficient inference and serving engine for LLMs
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
Free and open — grab the source, star the repo, and start creating.