Local Machine Automation
Tensorify's CLI runner executes workflows directly on your machine, giving AI agents and workflows access to your local filesystem, shell, and system resources. This is something cloud-only platforms like Zapier and Make can never do.
Local machine plugins (File Ops, Shell, System Info) only work in CLI mode — run tensorify runner start on the target machine.
When you run tensorify runner start, the workflow engine runs on YOUR machine. This means plugins can:
- Read and write files on your filesystem
- Execute shell commands (git, docker, npm, etc.)
- Monitor system resources (CPU, memory, disk)
- Access local services (databases, Docker containers)
Read, write, modify, and manage files. Operations: read, write, append, find-and-replace, list, copy, move, delete.
Execute commands and manage processes. Operations: exec (sync), start (background), status, output, wait, kill.
Query system resources. Queries: cpu, memory, disk, processes, network, ports, uptime.
Deploy the DevOps Bot templateThis template creates a Slack bot that can:
- Run deployments (
git pull && docker compose up -d) - Check server health (CPU, memory, disk)
- Restart services
- Read and tail log files
Install the CLI
curl -fsSL https://cli.tensorify.io/install | sh
Initialize
tensorify init
Follow the prompts to configure your runner.
Start the Runner
tensorify runner start
Or install as a system service: tensorify runner install
Deploy with CLI mode
In the canvas, select "Self-Hosted" from the execution target dropdown, then Deploy.
When connecting File Ops or Shell to an AI Agent, use allowed_operations to limit what the agent can do:
- Read-only monitoring: File Ops with
["read", "list"], Shell with["exec"](readonly commands only) - Full automation: All operations enabled
- No deletion: File Ops with
["read", "write", "append", "replace", "list", "copy", "move"]
Configure this in the plugin's "Agent Permissions" settings group — it's excluded from the tool schema the agent sees.
| Use Case | Plugins | Trigger | |----------|---------|---------| | Deploy on Slack mention | Shell + System Info | Slack Trigger | | Monitor disk space, alert on low | System Info + Slack Send | Manual (scheduled) | | Auto-fix config files | File Ops + AI Agent | Webhook | | Run test suites on PR | Shell + GitHub | Webhook (GitHub) | | Backup database daily | Shell + S3 | Manual (scheduled) |
- Working directory: Set
working_directoryin Shell to scope commands to your project - Timeouts: Set reasonable timeouts (default 30s) to prevent hanging processes
- Background processes: Use start/wait/kill for long-running commands (builds, migrations)
- Process limits:
max_concurrent_processesprevents runaway background tasks (default: 5)
