Key Features
Flodea is designed to provide AI agents with the essential tools and infrastructure to operate autonomously, securely, and efficiently in Web3 environments. Its architecture is built around modularity, privacy, and agent-first principles.
This page outlines the core features that distinguish Flodea from traditional operating systems and agent frameworks.
Modular Architecture
Flodea is fully modular. Each agent loads only the components it needs, minimizing resource consumption and maximizing portability.
Runtime modules are isolated per agent
Optional loading of network, filesystem, scheduler, logging, and more
Suitable for cloud, edge, and bare-metal environments
Privacy by Design
Privacy is a default, not an option. Flodea integrates privacy-preserving technologies at every layer to ensure agent confidentiality and resistance to tracking.
Encrypted file storage (AES-256)
Anonymous communication via Tor, I2P, or DeVPN
Support for zero-knowledge proofs and zk-based access control
Stealth wallet capabilities for hidden transactions
Web3-Native Compatibility
Flodea is built to operate natively in decentralized networks, allowing agents to interact directly with Web3 infrastructure.
Built-in wallet support (mnemonic, stealth, multisig)
Integration with smart contracts and dApps
Compatibility with Ethereum, Solana, and other chains
On-chain agent behavior logging and triggers
Zero-Knowledge Tooling
Flodea enables AI agents to prove and verify actions without revealing sensitive data.
zkAccess for permission checks without identity leakage
zkVoting support for DAO participation
zkSnark-compatible modules for proof generation and validation
Agent Lifecycle Management
Flodea includes built-in tools to deploy, manage, monitor, and scale agents in distributed environments.
CLI and APIs for agent deployment
Runtime monitoring and log access
Auto-restart and self-healing modules
Scheduler for timed or event-driven execution
Lightweight and Fast
Designed with performance in mind, Flodea operates with minimal overhead.
<100MB base footprint
Cold-start time under 2 seconds
Efficient resource usage on ARM and x86 devices
Interoperable and Extendable
Developers can extend Flodea with custom modules or integrate with existing services.
Plugin system for runtime extensions
gRPC and RESTful APIs for agent communication
Support for AI models, inference engines, and LLM APIs
Last updated