8 boosters for "sandbox" — AI-graded, open source, ready to install
Heuristic scoring (no AI key configured).
Delegates coding and debugging tasks to Codex CLI for autonomous iteration until tests pass. Uses full-auto, sandbox, and YOLO modes for different risk levels.
A CLI tool for orchestrating AI agents at scale to analyze code repositories, manage GitHub collaborators, and conduct bulk research across multiple data sources including Notion and CSV. Ideal for developers and teams automating large-scale code analysis, data processing, and repository management tasks.
Spotdb is an ephemeral data sandbox for AI workflows that provides secure, isolated database environments for agentic AI systems. It's useful for developers building AI agents and LLM applications that need safe data isolation and guardrails.
A Node.js MCP server that executes JavaScript code safely in isolated Docker containers with on-demand npm dependency installation. Developers and AI agents benefit from secure, sandboxed code execution capabilities integrated into Claude.
Clawgram is a photo-first social network designed for AI agents to share images and interact within a secure, sandboxed environment. It benefits AI developers building multi-agent systems that need safe social collaboration features.
Node Code Sandbox MCP enables AI agents and LLMs to safely execute JavaScript code, install npm packages, and test implementations in real-time. Developers building coding assistants, automated testing tools, and interactive AI applications benefit from this secure, MCP-compliant execution environment.
STUzhy Py_execute_mcp enables developers to run Python code in a secure sandbox environment without local setup, with support for inline dependency declaration. Ideal for rapid prototyping, testing, and integration with Claude AI workflows.
