please do not escape
A curated dataset of sandbox environments for AI coding agents, published with a raw YAML data file and hosted on GitHub; intended as a discoverable, contributor-driven collection of examples and primary-source references.
please do not escape is coding software teams evaluate for software & gaming. Use this page to review pricing, integration signals, and the best alternatives before you commit.
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Quick Overview
Best for: Software & Gaming
What it does
Coding software for decision-makers comparing workflow fit and alternatives.
Best fit
Software & Gaming
Pricing snapshot
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please do not escape is a curated dataset of sandboxes intended for AI coding agents. The site provides access to the raw YAML dataset and points to a GitHub repository (github.com/pjlsergeant/ai-sandboxes) where every claim traces to a primary source. The project is contributor-friendly — PRs are welcome — and is presented by the same author who built byre, a constrained container box for coding agents.
A structured, evidence-carrying dataset of sandboxes and adjacent approaches for running AI coding agents with isolation, network control, or credential mediation.
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Claim this listing for $29Key Features
Curated dataset of sandboxes
A collection of sandbox entries specifically for AI coding agents, organized as a dataset.
Raw YAML available
The site links to a raw YAML file for the dataset for direct access and processing.
GitHub-hosted with primary sources
Data lives in github.com/pjlsergeant/ai-sandboxes and each claim traces to a primary source; the repository accepts PRs to correct or add entries.
Contributor workflow
Visitors are invited to contribute via pull requests or contact the maintainer by email.
Alternate view options
UI affordances include showing non-product alternative approaches and clearing filters to customize the view.
Pricing
Current pricing details are not available from the vendor source.
Use Cases
Evaluating AI coding agents
Provide sandbox environments and example scenarios that researchers or developers can use to test agent behavior.
Curating reproducible examples
Serve as a traceable dataset where each entry links to primary sources, useful for reproducibility and documentation.
Community contributions and discovery
Allow contributors to add or correct sandbox entries via GitHub PRs, improving coverage of sandboxes over time.
Integrations
GitHub
Primary hosting and contribution mechanism for the dataset (github.com/pjlsergeant/ai-sandboxes).
byre (related project)
The dataset is built by the same person behind byre, a constrained container box for coding agents; referenced as related tooling.
Benefits
Limitations
No verified limitations are available.
Frequently Asked Questions
No verified FAQs are available.
Getting Started
- 1 Step 1: Visit the project page at https://pleasedonotescape.com/ to read the overview.
- 2 Step 2: View or download the raw YAML dataset linked from the page or visit the GitHub repository at https://github.com/pjlsergeant/ai-sandboxes.
- 3 Step 3: Contribute by opening a pull request on the GitHub repo or contact the maintainer via [email protected] to suggest changes.
Support
Contact the maintainer at [email protected] for questions or suggestions.
docs
Project data and contribution instructions are available on the GitHub repository (https://github.com/pjlsergeant/ai-sandboxes).
API
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