> ## Documentation Index
> Fetch the complete documentation index at: https://docs.jhansi.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Why Not Plain Docker?

> Docker is an important building block. jhansi.io addresses the product and lifecycle around agent execution.

A container can package a workload and provide process, filesystem and network isolation. But an agent-facing execution service needs more than a command that starts a container.

## What plain Docker leaves to you

| Concern         | Plain Docker                                   | jhansi.io                                                   |
| --------------- | ---------------------------------------------- | ----------------------------------------------------------- |
| Agent interface | You design the API or tool contract.           | SDK and MCP-facing execution operations.                    |
| Lifecycle       | You create, monitor and remove containers.     | Sandbox creation, execution, result collection and cleanup. |
| Result model    | You capture stdout, stderr and exit state.     | A consistent execution result returned to the caller.       |
| Boundaries      | You choose mounts, networks and daemon access. | A defined execution boundary with documented defaults.      |

## The question Docker does not answer

How does an AI agent request, observe and finish controlled execution without becoming the infrastructure operator?

jhansi.io answers that question.