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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.

HighLevel View

From the Agent Design and Advantages sections:

  • Each agent runs entirely inside your environment.
  • Agents communicate peertopeer 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:

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 thirdparty 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 peertopeer 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 crosssite 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 policycontrolled.

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:

  • Redeploying 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

SingleNode Local Agent

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

MultiNode 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.

VDCBacked 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 zerotrust Identity, policy, and attestation enforced continuously.
  • Planetaryscale 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 highlevel and forwardlooking. For timelines and how to prepare, see Overview and Getting Ready for Agents.