Ross ROSS = Recommend OSS · open-source software intelligence for agents

vndee/llm-sandbox

Lightweight and portable LLM sandbox runtime (code interpreter) Python library. observed · 2026-09-03

github.com/vndee/llm-sandbox · homepage · Python · MIT (permissive) observed · 2026-09-03

Health v2 · maintenance only

90/100

  • Activity 100
  • Release rhythm 96
  • Longevity 56
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 1.5
  • age_days: 797
  • days_rel: 30
  • days_push: 0
  • n_releases_24m: 45

Full methodology

Adoption not part of the score

1118 stars · 104 forks observed · 2026-09-03

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

LLM Sandbox is a lightweight Python library for safely executing LLM-generated code in isolated container environments with support for Docker, Kubernetes, and Podman backends. It offers multi-language code execution, security policies, resource limits, and an MCP server integration for AI assistants like Claude Desktop.

Use cases

  • run code generated by LLMs safely in an isolated sandbox
  • execute AI-generated Python or JavaScript with automatic dependency installation
  • add a secure code interpreter to an AI agent or LangChain pipeline
  • let Claude Desktop execute code via an MCP server
  • capture plots and artifacts produced by sandboxed code
  • run untrusted code with CPU, memory, and network restrictions

When to choose

  • you need to execute untrusted LLM-generated code without risking the host system
  • you want a Python library with pluggable container backends (Docker, Kubernetes, Podman)
  • you're building AI agents that need a code interpreter tool
  • you need multi-language execution with on-the-fly dependency management

When to avoid

  • you need a fully managed cloud code-execution service rather than self-managed containers
  • your environment cannot run containers (no Docker/Podman/Kubernetes)
  • you only need to run trusted code with no isolation requirements

Facets

library · maturity active

security sdk mcp developer-tools large-language-models security developer-tools python cross-platform code-interpreter sandbox llm-generated-code container-backends mcp-server ai-agents docker kubernetes

3 sources

Member repositories

RepositoryRoleHealth v2
vndee/llm-sandboxmain90

For agents

markdown · JSON · MCP: product_card(name="vndee/llm-sandbox")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem