mattpocock/sandcastle
sandcastle
Orchestrate sandboxed coding agents in TypeScript with sandcastle.run()
Usage guide
sandcastle is an open-source project around ai-agents with 5,147 GitHub stars. This guide focuses on when to use it, how to install it, how to run the first example, and what to verify before adopting it.
Key features
- Implemented mainly in TypeScript, useful for judging integration effort in a similar stack.
- GitHub detected the MIT repository license, which generally permits commercial use. This signal only covers the repository license; review its obligations and any model weights, datasets, dependencies, or external services before commercial adoption.
- GitHub is the main evaluation surface; review the README, issues, and recent commits first.
Best for
- Evaluating sandcastle for TypeScript AI workflows.
- Comparing a GitHub project with 5,147 stars and current repository activity.
Pros
- sandcastle has visible GitHub traction with 5,147 stars.
- The GitHub repository is the primary evaluation surface.
Cons
- Production fit still depends on documentation depth, issue activity, and release cadence.
- License review should confirm the MIT terms fit your use case.
Production readiness
sandcastle should be validated with its README, release history, open issues, and integration requirements before production use.
License risk
MIT is reported by GitHub; review the repository license before redistribution or commercial use.
Install tutorial
Before you install
- Node.js and the package manager used by the project
- A clean working directory for the first test run
Check the runtime environment
sandcastle uses a Node.js-style toolchain. Confirm the Node version and package manager before installing.
Get the project files
Start from the official repository or package so the first run matches the documented behavior.
$ git clone https://github.com/mattpocock/sandcastle.gitInstall or build dependencies
Run the next setup command detected from the project documentation.
$ npm install --save-dev @ai-hero/sandcastleTroubleshooting
- If installation fails, first confirm the command is being run from the README-specified directory.
- If dependencies conflict, retry in a fresh virtual environment, container, or working directory.
- If output looks wrong, return to the smallest documented sandcastle example before adding complex data.
- For keys, model files, or external services, verify environment variables, local paths, and permissions one by one.
- Before production use, review recent updates, open issues, license terms, and safety boundaries.
What is sandcastle?
sandcastle is an open-source ai agents project. Orchestrate sandboxed coding agents in TypeScript with sandcastle.run()
How do I install sandcastle?
Start with the official README. The first detected setup step is: git clone https://github.com/mattpocock/sandcastle.git.
Is sandcastle beginner-friendly?
If you already know the TypeScript ecosystem, start with the smallest example. Otherwise test it in an isolated environment first.
Can sandcastle be used commercially?
GitHub detected the MIT repository license, which generally permits commercial use. This signal only covers the repository license; review its obligations and any model weights, datasets, dependencies, or external services before commercial adoption.
Does sandcastle need a GPU?
GPU requirements depend on the workload, model, and dataset size. Start with the smallest README example before scaling up.
How should I decide whether to adopt sandcastle?
Evaluate setup cost, maintenance activity, issue health, license terms, and fit with your real workflow.