adammiribyan

adammiribyan / zeroboot

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Sub-millisecond VM sandboxes for AI agents via copy-on-write forking

zeroboot.dev ai-agents code-execution copy-on-write firecracker kvm
25
1
100% credibility
Found Mar 18, 2026 at 158 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

Zeroboot is an open-source tool for launching ultra-fast, isolated code execution environments optimized for AI agents using efficient virtual machine snapshots.

How It Works

1
🔍 Discover Zeroboot

You find this tool on GitHub that lets AI helpers run code super quickly and safely in private spaces.

2
🎥 Watch the magic demo

You see a video where code runs in less than a blink, way faster than others, perfect for smart assistants.

3
🚀 Try it right away

You paste simple code into their online tester and get results back almost instantly.

4
🔑 Get your private pass

You grab a special code to use their ready-to-go service without any hassle.

5
📦 Add to your project

You add their easy helper to your Python or JavaScript work so your AI can use it.

6
⚡ Run code securely

Your AI sends code to run in isolated safe zones, getting answers back in milliseconds.

✅ AI supercharged

Your assistant now solves tough problems with math and data instantly and safely, every time.

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Star Growth

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AI-Generated Review

What is zeroboot?

Zeroboot spins up sub-millisecond VM sandboxes for AI agents via copy-on-write forking, using Rust to deliver real KVM isolation without the usual boot overhead. You preload a template VM with Python or Node.js, then fork it instantly to run code securely—think hardware-enforced memory separation in ~265KB per sandbox. Hit the HTTP API at api.zeroboot.dev/v1/exec for single runs or batches, or use lightweight Python/TS SDKs for seamless integration.

Why is it gaining traction?

It crushes spawn latencies: 0.79ms p50 vs E2B's 150ms or Daytona's 27ms, with p99 under 2ms and 1000 concurrent forks in 815ms. Developers dig the copy-on-write efficiency for agents, plus verified isolation and numpy-ready Python environments out of the box—no more waiting on containers for quick code evals.

Who should use this?

AI agent builders chaining Claude or similar LLMs with parallel Python executions, like multi-approach math solvers or data viz tools. Backend devs needing secure, low-overhead code sandboxes for untrusted user scripts in web apps.

Verdict

Grab it for prototypes if you're prototyping zerobooth ai agents—benchmarks deliver on sub-millisecond promises via Rust forking. At 25 stars and 1.0% credibility, it's a working prototype, not production-ready; file issues to push maturity.

(198 words)

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