Локальные LLM
solomd
Local-first markdown editor that coding assistants can drive directly.
★ 1,2 тыс. звёздMIT
Смотреть руководство →pentest-harness — проект с открытым исходным кодом из категории «Локальные LLM» от S1N6H (S1N6H/pentest-harness на GitHub). У него 405 звёзд на GitHub и 65 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 11 сентября 2026.
Pentest Harness — Heaven for Hackers.
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
Turn your AI coding chats into reusable skills with IDE extensions.
Другие проекты из категории «Локальные LLM» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если pentest-harness вам не подходит.
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.
Соседние проекты из категории «Локальные LLM» в каталоге, ближайшие по числу звёзд к pentest-harness — продолжайте изучать полку по обе стороны от него.
A local-first 3-in-1 AI memory layer and MCP server.
Self-hosted control plane: approve or block rogue agent calls.
Local-first inbox designed for long-running AI agents, built.
Token efficient translation utility built on ChatGPT or any OpenAI compatible LLM.
Open source, Git-native memory for AI coding agents - deterministic local recall
Find the best local models for your hardware — and how to run them.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.