Code & Development · PyPI

llm-in-sandbox

A lightweight framework that connects LLMs to a virtual computer (Docker-based sandbox) to build general-purpose agents

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Details

Author
Daixuan Cheng, Shaohan Huang
GitHub profile
@llm-in-sandbox
Category
Code & Development
Platform
PyPI
GitHub
https://github.com/llm-in-sandbox/llm-in-sandbox
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@llm-in-sandbox

Overview

A lightweight framework that connects LLMs to a virtual computer (Docker-based sandbox) to build general-purpose agents

Quick start

pip

pip install llm-in-sandbox

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What llm-in-sandbox can do

agentllmaiagentic-ai
  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Llm — llm task automation.
  • Ai — ai task automation.
  • Agentic Ai — agentic-ai task automation.

Frequently asked questions

What is llm-in-sandbox?
A lightweight framework that connects LLMs to a virtual computer (Docker-based sandbox) to build general-purpose agents
How do I install llm-in-sandbox?
Use pip: `pip install llm-in-sandbox`. Full setup details on the source page linked above.
Is llm-in-sandbox open source?
llm-in-sandbox is published on PyPI.
What are alternatives to llm-in-sandbox?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for llm-in-sandbox is sourced from PyPI, published by Daixuan Cheng, Shaohan Huang.

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