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Run code and shell commands safely in a disposable Docker sandbox.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "anvil" yet — see the docs or source repo.
Run this Python script in the anvil sandbox, install any missing dependencies, and return the results, errors, and generated files.
Script execution results from an isolated container, including logs, errors, and output artifacts.
Use anvil to execute the following shell commands step by step, verify each step, and identify failures with suggested fixes.
Execution status, terminal output, failure causes, and fix suggestions for each command.
Create a minimal reproducible environment in anvil, install the specified dependency versions, reproduce this error, and summarize likely causes.
Minimal reproduction steps, reproduction logs, environment details, and root cause analysis.
Provide AI agents a local sandbox to run code and tasks safely.
Safely run untrusted commands for MCP clients inside a gVisor sandbox.
Provide AI agents a local isolated Linux sandbox for fast, safe commands.
Provide layered long-term memory for AI agents across markdown, vector, and graph stores.
Run sandboxed Bash, edit code, and automate debugging with agentic tools.
Run AI agents in VM-isolated sandboxes on Mac for safer execution.