Инструменты разработчика
pentest-ai-agents
AI subagents that turn Claude Code into an authorized penetration-testing assistant.
★ 2,3 тыс. звёздMIT
Смотреть руководство →backend.ai — проект с открытым исходным кодом из категории «Инструменты разработчика» от lablup (lablup/backend.ai на GitHub). У него 674 звезды на GitHub и 185 форков, он распространяется по лицензии LGPL-3.0 и последний раз обновлялся на GitHub 4 октября 2026.
Backend.AI is a streamlined, container-based computing cluster platform.
Decide what you want backend.ai to do first — backend.AI is a streamlined, container-based computing cluster platfor.
Change the config to match your workflow, then run it daily.
Pull the latest changes to stay current with fixes.
The README documents setup; start with the install section.
Programmatic access to its features.
Working backendai support built in.
Working cloud computing support built in.
Working containers support built in.
Readable code that is easy to modify.
Free to use; library linking stays open.
Download the source and move into the project folder.
git clone https://github.com/lablup/backend.ai.git
cd backend-aiInstall the Python dependencies from the project.
pip install -r requirements.txtLaunch with the project entry point — check the README for the exact command.
python main.py # see README for the exact entry pointYes, but note the copyleft: it is LGPL-3.0 licensed, so distributed derivatives must stay open.
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 LGPL-3.0. Read the LICENSE file in the repo for the exact terms.
The repo shows activity as of 2026-10-04. Check the commit history and open issues on GitHub to judge how active maintenance is right now.
AI subagents that turn Claude Code into an authorized penetration-testing assistant.
Open source, self-hosted AI code review. Bring your own LLM.
Prompt-as-code for enterprises — version, audit and deploy AI instructions.
Open, event-based protocol that connects AI agents to user-facing apps with streaming and shared state.
rmcp: the official Rust SDK for the Model Context Protocol — tokio-based servers and clients
Google's cross-platform framework for on-device ML perception: vision, text and audio pipelines
Другие проекты из категории «Инструменты разработчика» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если backend.ai вам не подходит.
The open source coding agent
The model-definition framework behind modern AI — thousands of pretrained transformers for text, vision, and audio.
Anthropic's agentic coding tool that lives in your terminal and works across your whole codebase
Cross-platform desktop all-in-one manager for Claude Code, Codex, OpenCode and other coding agents
OpenAI's lightweight coding agent that runs locally in your terminal
Соседние проекты из категории «Инструменты разработчика» в каталоге, ближайшие по числу звёзд к backend.ai — продолжайте изучать полку по обе стороны от него.
Persistent memory for coding agents — frozen, but its core lives on in Caveman.
macOS app to manage your AI coding sessions — browse, resume and review.
50 open-source skills that teach AI coding agents to make motion graphics.
Open-source AI code reviewer — top-ranked on the Code-Review-Bench.
Semantic code search for AI — ripgrep speed with tree-sitter AST parsing.
Turn your AI assistant into an expert economics-paper writer.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.