14-year-old creates tool for AI agents to band together like a team
Built by a 14-year-old developer, a new tool called Autark treats AI agents as a virtual team that can work without constant prompting.
Key points
- “I wanted a system that could take responsibility for ongoing work, not just respond to my next message.” He developed Autark - or, more accurately, prompted AI coding tools to do it for him - to come up with a tool that could fulfill that want.
- “In our own live test runs, agents given a vague request reached real repositories, backups, SSH keys and.env files within minutes, and one changed the permissions of a file it had found,” the access page notes.
- “It can do everything,” the page explains, because “Autark does not put walls around its agents.” There’s no sandboxing in Autark, no approval prompts, and no permission gates.
They decide what to do, do it, and can plan their own next step.” As one would hope from a product like this, Autark is model agnostic and can be set up to connect to OpenAI Codex, Claude Code, Gemini CLI, GitHub Copilot CLI, and Kimi Code through those services’ CLI tools.
Additional details
- “That is a question, not a technical barrier.” That means agents given a task that conflicts with their stated limits may still attempt to carry it out.
- It doesn’t stop agents from spending all the money they can get their hands on, deleting files, or sending unsolicited emails, either.
- The bottom line is that this is a tool built by an ambitious young person, and it’s a tool with a lot of potential if used correctly.
- Users put tasks in an inbox, where a manager agent delegates them to other agents that carry out the work and report their results.
- Agents run with the privileges of the machine's user, with approval checks and permission restrictions disabled or bypassed.
How this summary was made: extractive summary — built from the sources' own reporting. It is drawn only from the reporting of the sources listed below — read the originals for full detail. How we summarize →
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