Dev Tools
pentest-ai-agents
AI subagents that turn Claude Code into an authorized penetration-testing assistant.
★ 2.3k starsMIT
View guide →Backend.AI is a streamlined, container-based computing cluster platform.
backend.ai is an open-source dev tools project by lablup (lablup/backend.ai on GitHub). It has 674 GitHub stars and 185 forks, is released under the LGPL-3.0 license, and was last updated on GitHub on 4 October 2026.
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.
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