A small python3 programm to map shell commands and python3 code to your controller through the inputs library
Managed MCP infrastructure — give your AI agents production-ready tools
A full-stack real-time interview platform enabling seamless 1-on-1 technical interviews with integrated video calling, live code editor, real-time chat, and automated code evaluation. Features secure code execution, authentication, and interactive feedback, providing an end-to-end coding interview experience.
A modern web-based IDE supporting Python, JavaScript, Java, C++, C, and Bash with real-time code execution, beautiful UI, and cloud deployment ready.
A secure and sandboxed python code interpreter for LLMs. Accessable via MCP, or directly in code
OpenSandbox support for the Agno agent framework
Standalone compute-plane service for isolated code execution: session lifecycle, command runs, workspace files, artifact export, and microVM snapshots
CodeForge is a distributed online judge and code execution platform with secure Docker sandboxes, async queue-based workers, Redis caching, retry and autoscaling services, and a modern IDE frontend.
A persistent Linux sandbox for every user of your AI agent
A browser-based JavaScript/TypeScript playground with a Chrome DevTools-like console. Features include real-time code execution, error handling, and detailed output formatting for various data types including Promises, functions, and objects. Built with React and TypeScript.
JS code execution for MCP, with pluggable runtimes and host-controlled tools.
multi-layered security stack to execute untrusted code safely
Claude Code skill and CLI for Gemini API workflows: text, multimodal, plan review, structured output, embeddings, search grounding, media generation, files, caching, batch, and more.
Open-source sandboxes for AI agents — run untrusted, AI-generated code safely on your own machine.
AI-assisted code grading and doubt resolution. Deterministic tests decide correctness; a Postgres trigger makes it impossible to publish an AI answer without teacher approval. Student code runs in disposable, network-less containers.
Скрипт для организации последовательного исполнения JS-функций посредством механизма обратных вызовов.
secure Node.js and Python sandbox for LLM code execution using Docker.
Secure sandbox MCP server for AI agents — Docker and Windows Sandbox backends
Multi-language online judge with isolated Docker code execution, BullMQ workers, Redis, MongoDB, and Next.js.
Scrapybara — independent third-party profile of a public API surface, by API Evangelist. Scrapybara provides virtual desktops for AI agents - remote Ubuntu, browser, and Windows instances that computer-use models can see and control. A single x-api-key REST API starts and manages cloud instances, streams the desktop, runs computer / keyboard / mous
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