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This project provides a secure, containerized execution engine designed to run untrusted code within isolated environments. It functions as a library for integrating code interpretation into autonomous agents and intelligent assistant workflows, ensuring that host systems remain protected while enabling dynamic data processing and file manipulation. The platform distinguishes itself through a multi-backend architecture that abstracts diverse container runtimes, allowing for flexible deployment and automated backend failover. It supports interactive, multi-turn workflows by maintaining persist
This project is a Python framework for building autonomous, event-driven agent systems. It provides a unified runtime for orchestrating multi-agent workflows, managing persistent conversation state, and executing code within secure, isolated sandbox environments. The framework is designed to handle complex task delegation, allowing agents to invoke other agents as tools while maintaining context across multi-turn interactions. The framework distinguishes itself through its deep integration with the Model Context Protocol, enabling agents to connect to external data sources and remote services
Liquid is a secure template engine and markup language used to generate dynamic HTML or text by combining static templates with backend data. It functions as a web template renderer that transforms markup into final output while restricting available logic to prevent arbitrary code execution. The engine focuses on secure markup execution, providing a restricted environment where user-provided templates cannot access sensitive system data. It utilizes a safe evaluation sandbox to ensure that only a predefined set of instructions can be executed. The system includes capabilities for template s
rlm is an LLM code execution engine and orchestration framework designed to coordinate multiple language model calls and recursive sub-tasks through a programmable environment. It provides a sandboxed REPL environment and a recursive context processor to handle inputs that exceed standard token limits by programmatically decomposing prompts. The project differentiates itself through a reinforcement learning training harness used to teach models how to utilize recursive calls and code execution. It includes a reasoning visualization system that records and renders execution trajectories to ana
Javascript Playgrounds is a browser-based code execution engine designed for running untrusted JavaScript snippets and managing interactive playgrounds. The system isolates user-submitted code inside dedicated web workers to prevent main thread blocking and protect the host environment, while supporting dynamic module loading that fetches external libraries and third-party scripts on demand.
The main features of dabbott/javascript-playgrounds are: Sandboxed Code Execution Environments, Dynamic Module Loading, Interactive Code Playgrounds, Web Worker Execution, Isolated Code Execution, Sandboxed Browser Runtimes, Console Log Formatting, Sandbox Configuration.
Open-source alternatives to dabbott/javascript-playgrounds include: vndee/llm-sandbox — This project provides a secure, containerized execution engine designed to run untrusted code within isolated… openai/openai-agents-python — This project is a Python framework for building autonomous, event-driven agent systems. It provides a unified runtime… shopify/liquid — Liquid is a secure template engine and markup language used to generate dynamic HTML or text by combining static… cloudflare/sandbox-sdk — The sandbox-sdk is a development kit designed for building secure, isolated execution environments on a global edge… bootdotdev/curriculum — This project is an interactive programming curriculum and educational system designed to teach computer science and… alexzhang13/rlm — rlm is an LLM code execution engine and orchestration framework designed to coordinate multiple language model calls…