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An isolated environment for AI agents to execute code.

4 starsTypeScript

Isol8 – An isolated environment for AI agents to execute code

by masterbruce10·Feb 14, 2026·1 point·0 comments

AI Analysis

●●SolidWizardryNiche Gem
The Take

This is a practical, engineer-first sandbox that feels built for LLM workflows: five runtimes (Python/Node/Bun/Deno/Bash), streaming SSE output, warm container pools for sub-100ms latency, and security defaults like read-only rootfs, seccomp, and resource caps. The embeddable TypeScript API plus an agent 'skill' and on-the-fly package installs make it easy to plug into agent pipelines. My nitpick: it still depends on Docker as the trust boundary — I'd like clearer hardened defaults, policy/audit primitives, and documentation about residual host risks before using it to run fully hostile code.

Target Audience

AI/LLM developers, engineering teams building agent systems or automated workflows, and security-conscious developers needing safe code execution sandboxes

Post Description

hey, I was working on this one project which involved the llm agent to do some maths. I don't trust the direct mathing skills so I wanted it to create and execute scripts.

The issue is that I am skeptical of whether the scripts would be safe or not because of possible prompt injections. I understand we already have things like docker and VM to sort of containerize and isolate the environments but I wanted to create something that these agents would use directly. It should be efficient, spin up quickly and should be configurable.

So, I came up with isol8. Simple API, simple usage. I hope someone else finds it useful as well :P

Thanks!

// LINKS

docs - https://bingo-ccc81346.mintlify.app/ , repo - https://github.com/Illusion47586/isol8 , npm - https://www.npmjs.com/package/isol8

, skill - npx skills add Illusion47586/isol8/skill/isol8

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