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# Agent Architecture & Design

This page summarizes the intended design of Mycelium Agents, based on the public descriptions on the main site. The details may evolve as we approach the 2026 launch.

## High‑Level View

From the **Agent Design** and **Advantages** sections:

- Each agent **runs entirely inside your environment**.  
- Agents **communicate peer‑to‑peer** across trusted nodes.  
- Agents **access data locally** without exposing it to external providers.  
- Agents are **portable**, moving with your infrastructure rather than with a single cloud vendor.

Conceptually:

```mermaid
graph TD
    A[Your Devices & Nodes] --> B[Agent Runtime]
    B --> C[Local Data & Tools]
    B --> D[Mycelium Network]
    D --> E[Other Agents & Nodes]
```

- The **runtime** executes agent logic.  
- Agents load and store data through local backends (files, QSFS, databases).  
- Communication uses **Mycelium Network** between environments.

## Core Properties

### Local Execution

From the "Local Execution" highlight:

> *“Agents run entirely inside your environment. Models, logic, and memory stay within your own trusted hardware, never behind third‑party APIs.”*

Implications:

- You choose where agents run: laptop, homelab, edge cluster, or VDC.  
- No requirement to send prompts or data to centralized AI APIs.  
- Compliance and sovereignty become much easier to reason about.

### Mesh Connectivity

From the "Mesh Connectivity" highlight:

> *“They communicate peer‑to‑peer across trusted nodes. Agents form direct encrypted paths between environments, without relays or central servers.”*

This leverages **Mycelium Network** to:

- Give agents a global, encrypted address space.  
- Enable cross‑site coordination (home ↔ office ↔ cloud ↔ edge).  
- Avoid central bottlenecks and single points of failure.

### Private Data Access

From the "Private Data Access" highlight:

> *“They use your data without sending it elsewhere. Your datasets, embeddings, and context never leave your boundaries.”*

Design goals:

- Agents can work directly against local file systems, QSFS, and internal services.  
- Sensitive inputs and outputs remain in environments you choose.  
- Remote calls (if any) are explicit and policy‑controlled.

### Portability

From the "Portability" highlight:

> *“They move with you, not with a cloud provider. Agents follow your devices, networks, and workflows, remaining sovereign across every location.”*

Over time the framework aims to allow:

- Re‑deploying agents between different nodes and VDCs.  
- Maintaining state while moving execution closer to data or users.  
- Using heterogeneous infrastructure (homelab + hoster nodes + VDCs) as one fabric.

## Example Deployment Topologies

### Single‑Node Local Agent

- Agent runtime on your workstation.  
- Local data and tools only.  
- Mycelium Network used for optional remote access.

### Multi‑Node Mesh

- Agents running on several nodes (e.g. laptop, homelab, hoster node).  
- P2P coordination over Mycelium.  
- Some agents specialized for data access, others for orchestration.

### VDC‑Backed Agent Cluster

- Runtime deployed into a **VDC** as a set of Kubernetes workloads.  
- Agents expose services reachable only via Mycelium Network.  
- QSFS and other Mycelium components used for storage.

## Security & Trust (Preview)

From the "Security Architecture" and related messaging:

- **Provable sovereignty** – Assign workloads to trusted zones and verify state with cryptographic proofs.  
- **Autonomous zero‑trust** – Identity, policy, and attestation enforced continuously.  
- **Planetary‑scale resilience** – Mesh routing around failures, including regional outages.

As the framework evolves, expect more detailed specifications around:

- Identity & authentication between agents.  
- Policy models for where and how agents may run.  
- Auditability and observability of agent behavior.

## Status

The architecture described here is intentionally high‑level and forward‑looking. For timelines and how to prepare, see **[Overview](/ai-agent-framework)** and **[Getting Ready for Agents](/ai-agent-framework/getting-ready)**.