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+# Agent Use Cases
+
+This page adapts the **Agent Use Cases** section from the Mycelium site into documentation form.
+
+## What the Framework Enables
+
+> *“The framework gives you full control over where agents live, how they connect, and what data they use.”*
+
+Agents are intended to be:
+
+- **Location‑aware** – you decide which nodes or VDCs they inhabit.  
+- **Network‑aware** – connectivity and topology are visible and controllable.  
+- **Data‑aware** – data stays where it should, with explicit movement.
+
+## Example Use Cases
+
+### Run Agents on Your Own Hardware
+
+Deploy agents directly on:
+
+- Laptops and workstations.  
+- Homelabs and edge boxes.  
+- VDCs and clusters you control.
+
+You are not tied to any single cloud or vendor; agents execute where it makes the most sense for latency, privacy, or cost.
+
+### Connect Agents Over the Mycelium Network
+
+Use **Mycelium Network** as the secure fabric between agents.
+
+- Private overlay addressing across homes, offices, and datacenters.  
+- Encrypted paths between nodes in different countries or environments.  
+- One consistent address space spanning local and remote infrastructure.
+
+### Keep Data and Memory Private by Default
+
+Agents are designed to:
+
+- Use local datasets, tools, prompts, and embeddings.  
+- Avoid sending sensitive context to external AI APIs by default.  
+- Respect policies for which data may be shared and where.
+
+This is especially important for regulated sectors and internal systems.
+
+### Build Workflows Across Cloud + Edge
+
+Orchestrate multi‑node workflows that span:
+
+- Edge clusters near data sources.  
+- Central VDCs for heavier compute or aggregation.  
+- Personal devices for interaction and control.
+
+Examples:
+
+- Real‑time processing at the edge, with summarized results aggregated in a VDC.  
+- Agents coordinating tasks between office locations and remote workers.  
+- Data pipelines that never leave your chosen infrastructure.
+
+### Operate in Regulated Contexts
+
+Run agents where strict requirements apply:
+
+- Healthcare, finance, public sector, and other regulated domains.  
+- Environments with **data residency** constraints.  
+- Workloads requiring verified identity and controlled connectivity.
+
+The combination of **local execution**, **sovereign infrastructure**, and **encrypted mesh networking** is intended to make regulatory compliance more tractable.
+
+### Blend Local and Remote Intelligence
+
+Not all tasks need to run on the same node:
+
+- Lightweight agents might run locally for responsiveness and interactivity.  
+- Heavier workloads can be scheduled to trusted remote nodes (e.g. GPU clusters).  
+- Data movement is explicit and policy‑driven.
+
+This supports hybrid strategies where you balance privacy, performance, and cost.
+
+---
+
+## Looking Ahead
+
+These use cases are **illustrative** and may expand as the Agent Framework matures. For how to prepare your infrastructure today, see **[Getting Ready for Agents](/ai-agent-framework/getting-ready)**.