> ## 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.

# Who It Is For

> jhansi.io is for teams that want agent execution inside an environment they operate.

## A strong fit

**Teams connecting agents to private systems** — you need execution close to internal APIs, databases or services without exposing those systems directly to the agent.

**Self-hosted AI platforms** — you already operate your own model or agent stack and want the execution layer under the same operational control.

**Developers building agent products** — you want a small execution primitive that can be embedded behind your own product and policies.

**Regulated or data-sensitive environments** — you need to choose where code runs and where execution data is processed.

## May not be necessary when

* A developer-only local shell is acceptable for the task.
* A managed sandbox service already satisfies your infrastructure, data and governance requirements.
* The agent only calls narrow, pre-approved APIs and never needs general code execution.
* You do not want to operate execution infrastructure.

jhansi.io is not the universal answer for every agent. It is an option for teams that specifically value a controlled, self-operated execution boundary.