Architecture Snapshot

This section provides a high-level overview of the internal architecture of Flodea OS, highlighting how its modular and secure components work together to power autonomous AI agents in Web3 environments.

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Layered Architecture

Flodea OS is composed of multiple functional layers. Each layer is designed to be modular, replaceable, and optimized for agent-based execution.

+---------------------------+
|    Monitoring Interface   |  ← Logs, metrics, agent state APIs
+---------------------------+
|     Agent Lifecycle       |  ← Runtime manager, scheduler, supervisor
+---------------------------+
|       Runtime Layer       |  ← Python, JavaScript, WebAssembly execution
+---------------------------+
|     Module Abstraction    |  ← File system, network, storage, wallet
+---------------------------+
|       Core Kernel         |  ← Task handler, system clock, message queue
+---------------------------+
|       Host Hardware       |  ← Cloud VM, Edge device, Local server
+---------------------------+

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Component Overview

Component	Description
Core Kernel	Manages system-level tasks like memory, processes, and scheduling
Runtime Layer	Executes agent code with isolated environments (Python, JS, WASM)
Filesystem Module	Provides access to encrypted storage using per-agent sandbox directories
Network Module	Enables networking with privacy routing (optional: Tor, DeVPN, etc.)
Wallet Interface	Handles stealth wallet logic, transaction signing, and on-chain interactions
Agent Monitor	Captures logs, resource usage, and runtime metrics
Deployment Engine	Orchestrates startup, shutdown, and recovery of agents

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Runtime Options

Flodea OS supports multiple runtimes natively:

• Python: Ideal for AI logic, ML models, and orchestration

• JavaScript: Useful for automation, scripting, and interaction layers

• WebAssembly (WASM): High-performance, secure, sandboxed logic execution

Each runtime runs in its own memory-safe container, managed by Flodea's internal scheduler.

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Agent Isolation

To ensure safety, Flodea OS enforces full agent separation using:

• Separate encrypted filesystems per agent

• Dedicated execution environments

• Scoped network access based on policies

• Log and crash isolation for observability

No agent has access to the internal state or data of another.

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Scalability Notes

• Optimized for running on minimal infrastructure (e.g. 1 vCPU, 512MB RAM)

• Can scale horizontally across edge devices or cloud nodes

• Each instance can support multiple agents, depending on configuration