Local LLM
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Local-first markdown editor that coding assistants can drive directly.
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View guide →Pentest Harness — Heaven for Hackers.
pentest-harness is an open-source local llm project by S1N6H (S1N6H/pentest-harness on GitHub). It has 405 GitHub stars and 65 forks, is released under the MIT license, and was last updated on GitHub on 11 September 2026.
Change the config to match your workflow, then run it daily.
The README documents setup; start with the install section.
Decide what you want pentest-harness to do first — pentest Harness — Heaven for Hackers. A self-hostable AI agent harness.
Pull the latest changes to stay current with fixes.
Working ai agent support built in.
Working anthropic api support built in.
Working bug bounty support built in.
Working infosec support built in.
Typed code that is easier to maintain.
Use it freely, even commercially.
Download the source and move into the project folder.
git clone https://github.com/S1N6H/pentest-harness.git
cd pentest-harnessInstall the Node dependencies.
npm installStart the app or dev server.
npm startYes. It is MIT licensed, so you can use it freely, including commercially, with attribution.
No. It is a self-run project — clone it and run it on your own machine. Some features may optionally call external APIs; check the README.
Yes, that is the point. The code is public, so you can run, modify, and host it yourself.
It is released under MIT. Read the LICENSE file in the repo for the exact terms.
Yes — it lives on GitHub at S1N6H/pentest-harness. Open an issue or pull request; the contribution guide in the repo explains the process.
Local-first markdown editor that coding assistants can drive directly.
Personal AI agent that takes goals and works alone across your devices.
Lightweight inference engine for running LLMs efficiently on any device.
Local-first agent harness with loop, memory, and evals in readable code.
Open source AI agent harness in native Rust - GUI, CLI, webapp from one binary
Typescript/React Library for AI Chat 💬🚀
The most-starred other Local LLM projects in the LibreAI catalogue — the realistic shortlist if pentest-harness 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.