Run AI agents in an isolated macOS virtual machine. Ideal for operations teams needing secure, sandboxed environments for AI agent execution. Connects to Claude Code for agent workflows.
git clone https://github.com/webcoyote/clodpod.gitClodPod builds and manages macOS virtual machine sandboxes configured to run AI agents including Claude Code, Cursor Agent, OpenAI Codex, and Google Gemini. It enables mapping multiple project directories into VMs so AI agents can work on code while remaining isolated from your host computer. The tool includes Xcode and common development tools, supports headless execution for CI/CD workflows, and uses fast APFS copy-on-write caching for quick rebuilds. Operations and development teams benefit from passwordless sudo configuration, named VM instances for different projects or branches, and configurable memory budgets for parallel VM execution. Port forwarding allows VM agents to reach host resources like databases and local LLMs.
[{"step":"Install and configure Clodpod","action":"Download Clodpod from [official website] and install the macOS VM template. Ensure you have at least 20GB free disk space and 8GB RAM allocated for smooth operation.","tip":"Use the default macOS Ventura template unless your agent requires specific OS features. Enable 'Network Isolation' to prevent accidental data leaks."},{"step":"Define the agent's task and resources","action":"Specify the agent's task (e.g., web scraping, data processing) and required resources (e.g., API keys, input files) in the Clodpod agent configuration. Mount local directories if the agent needs to read/write files.","tip":"Store sensitive resources like API keys as environment variables within the VM to avoid exposing them on the host machine."},{"step":"Execute the agent in the sandboxed VM","action":"Run the agent via Clodpod's CLI or GUI. Monitor progress in real-time using the built-in logs. Pause or terminate the agent if unexpected behavior occurs.","tip":"For long-running tasks, use Clodpod's scheduling feature to automate execution at specific times."},{"step":"Retrieve and validate the output","action":"After completion, download the agent's output files from the VM to your local machine. Verify the data integrity and check the execution logs for errors.","tip":"Use Clodpod's 'Snapshot' feature to save the VM state before and after execution for debugging purposes."},{"step":"Clean up and secure the environment","action":"Terminate the VM and delete any temporary files or snapshots. Review the security logs to ensure no unauthorized access occurred during execution.","tip":"For sensitive tasks, consider using Clodpod's 'Ephemeral Mode' to automatically wipe the VM after each run."}]
Safely run Claude Code with relaxed permissions without risking host system damage
Execute multiple AI agent sessions simultaneously in isolated environments for different projects
Integrate AI agents into CI/CD pipelines using headless mode without graphics overhead
Manage separate development environments for different branches or worktrees with named VM instances
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/webcoyote/clodpodCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Set up and run an AI agent in a macOS virtual machine using Clodpod to execute [AGENT_TASK] in an isolated environment. Monitor the agent's progress and retrieve the results from the sandboxed VM. Ensure the agent has access to [REQUIRED_RESOURCES] and log any errors or outputs to [LOG_FILE_PATH].
### Clodpod macOS VM Agent Execution Report **Agent Task:** Automated data scraping from [EXAMPLE_SITE.COM] to extract product pricing for competitive analysis. **VM Configuration:** - OS: macOS Ventura (13.4) - CPU: 4 cores @ 2.5GHz - RAM: 8GB - Storage: 50GB SSD - Network: Isolated (no external access except to [EXAMPLE_SITE.COM]) **Agent Execution Log:** ``` 2024-05-15 09:15:22 - Agent initialized in Clodpod VM 2024-05-15 09:15:25 - Navigated to https://www.example-site.com/products 2024-05-15 09:15:30 - Detected CAPTCHA; paused execution for human review 2024-05-15 09:16:45 - CAPTCHA resolved; resumed scraping 2024-05-15 09:22:10 - Extracted 1,247 product entries 2024-05-15 09:22:15 - Saved data to /Users/agent/output/products_2024-05-15.json 2024-05-15 09:22:20 - Agent completed successfully ``` **Output Summary:** - Total products scraped: 1,247 - Price range: $19.99 - $299.99 - Missing data fields: 3 (product images) - Errors encountered: 0 **Next Steps:** 1. Review the output file at `/Users/agent/output/products_2024-05-15.json` for accuracy. 2. Feed the data into your competitive analysis dashboard. 3. Schedule the agent to run daily at 8 AM UTC. **Security Notes:** - All network traffic was confined to the VM. - No sensitive data was exposed to the host machine. - The agent was terminated after completion to free resources. ```
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