# Rust Runtime to Give AI Agents Real DevOps Tools

> Source: <https://dev.to/venturaproject/rust-runtime-to-give-ai-agents-real-devops-tools-4mp5>
> Published: 2026-08-31 13:12:58+00:00

I’ve been building **tooler**, an open-source runtime written in Rust designed to give developers, DevOps workflows, and AI agents a consistent set of real-world tools.

Instead of letting an agent rely on arbitrary shell commands, tooler provides structured capabilities for HTTP requests, databases, filesystems, processes, logs, Git/GitHub, deployments, health checks, systemd, cron, remote hosts, and reusable playbooks.

It also exposes its capabilities through **MCP**, making them directly accessible to AI agents.

The idea is simple:

**LLM → reasoning and planning → tooler → deterministic execution**

This creates a clean separation between what the agent decides to do and how those operations are safely and consistently executed.

tooler is built in **Rust**, distributed as a standalone binary, and designed for both humans and AI agents.

In this post, I’ll introduce the project, its architecture, why I built it, and how I’m exploring tooler as an execution layer for increasingly complex agentic workflows.