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.
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
+---------------------------+Component Overview
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
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.
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.
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
Last updated