119 lines
4.1 KiB
Markdown
119 lines
4.1 KiB
Markdown
---
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sidebar_position: 2
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---
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# Agent Architecture & Design
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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.
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## High‑Level View
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From the **Agent Design** and **Advantages** sections:
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- Each agent **runs entirely inside your environment**.
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- Agents **communicate peer‑to‑peer** across trusted nodes.
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- Agents **access data locally** without exposing it to external providers.
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- Agents are **portable**, moving with your infrastructure rather than with a single cloud vendor.
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Conceptually:
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```mermaid
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graph TD
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A[Your Devices & Nodes] --> B[Agent Runtime]
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B --> C[Local Data & Tools]
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B --> D[Mycelium Network]
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D --> E[Other Agents & Nodes]
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```
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- The **runtime** executes agent logic.
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- Agents load and store data through local backends (files, QSFS, databases).
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- Communication uses **Mycelium Network** between environments.
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## Core Properties
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### Local Execution
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From the "Local Execution" highlight:
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> *“Agents run entirely inside your environment. Models, logic, and memory stay within your own trusted hardware, never behind third‑party APIs.”*
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Implications:
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- You choose where agents run: laptop, homelab, edge cluster, or VDC.
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- No requirement to send prompts or data to centralized AI APIs.
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- Compliance and sovereignty become much easier to reason about.
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### Mesh Connectivity
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From the "Mesh Connectivity" highlight:
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> *“They communicate peer‑to‑peer across trusted nodes. Agents form direct encrypted paths between environments, without relays or central servers.”*
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This leverages **Mycelium Network** to:
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- Give agents a global, encrypted address space.
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- Enable cross‑site coordination (home ↔ office ↔ cloud ↔ edge).
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- Avoid central bottlenecks and single points of failure.
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### Private Data Access
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From the "Private Data Access" highlight:
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> *“They use your data without sending it elsewhere. Your datasets, embeddings, and context never leave your boundaries.”*
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Design goals:
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- Agents can work directly against local file systems, QSFS, and internal services.
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- Sensitive inputs and outputs remain in environments you choose.
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- Remote calls (if any) are explicit and policy‑controlled.
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### Portability
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From the "Portability" highlight:
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> *“They move with you, not with a cloud provider. Agents follow your devices, networks, and workflows, remaining sovereign across every location.”*
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Over time the framework aims to allow:
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- Re‑deploying agents between different nodes and VDCs.
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- Maintaining state while moving execution closer to data or users.
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- Using heterogeneous infrastructure (homelab + hoster nodes + VDCs) as one fabric.
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## Example Deployment Topologies
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### Single‑Node Local Agent
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- Agent runtime on your workstation.
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- Local data and tools only.
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- Mycelium Network used for optional remote access.
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### Multi‑Node Mesh
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- Agents running on several nodes (e.g. laptop, homelab, hoster node).
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- P2P coordination over Mycelium.
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- Some agents specialized for data access, others for orchestration.
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### VDC‑Backed Agent Cluster
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- Runtime deployed into a **VDC** as a set of Kubernetes workloads.
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- Agents expose services reachable only via Mycelium Network.
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- QSFS and other Mycelium components used for storage.
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## Security & Trust (Preview)
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From the "Security Architecture" and related messaging:
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- **Provable sovereignty** – Assign workloads to trusted zones and verify state with cryptographic proofs.
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- **Autonomous zero‑trust** – Identity, policy, and attestation enforced continuously.
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- **Planetary‑scale resilience** – Mesh routing around failures, including regional outages.
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As the framework evolves, expect more detailed specifications around:
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- Identity & authentication between agents.
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- Policy models for where and how agents may run.
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- Auditability and observability of agent behavior.
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## Status
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The architecture described here is intentionally high‑level and forward‑looking. For timelines and how to prepare, see **[Overview](/ai-agent-framework/overview)** and **[Getting Ready for Agents](/ai-agent-framework/getting-ready)**.
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