Amla Sandbox – WASM bash shell sandbox for AI agents

In plain words

Amla Sandbox is a WebAssembly-based sandbox that lets developers safely run code generated by large language models. It provides AI agents with a bash-like shell environment while restricting execution to only developer-defined tools and constraints. Built as a local Python package with no Docker, subprocess calls, or cloud dependencies required, it offers a lightweight way to contain LLM-generated code within specified boundaries.

written from the facts on this page · September 2026

From the sources

Contribute to amlalabs/amla-sandbox development by creating an account on GitHub.

This repository is the release source for the amla-sandbox Python package. Development happens in the amlalabs monorepo ; this repo is updated on release. The Rust runtime that compiles to amla_sandbox.wasm lives in amla-sandbox-core ; the exact release tag this Python package was built against is recorded in .mirror-deps.json . amla-sandbox is a WASM sandbox with capability enforcement for AI agent code. Agents can only call tools you explicitly provide, with constraints you define. Sandboxed virtual filesystem. No network. No shell escape. pip install amla-sandbox No Docker. No VM. One binary, works everywhere. from amla_sandbox import create_sandbox_tool sandbox = create_sandbox_tool ()…from github.com

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