Architecture
Technical overview of the SAGE platform
Technical Overview
SAGE will be built on an architecture that combines the best aspects of decentralized technology with advanced AI capabilities. This unique design enables the platform to process natural language inputs and convert them into executable smart contracts and decentralized applications.
Natural Language Processing Layer
Interprets user commands and translates them into actionable instructions
Agent Execution Environment
Provides the runtime for AI agents to operate and interact with each other
Decentralized Consensus Mechanism
Ensures security, reliability, and immutability of the network
Data Storage Layer
Manages the persistent storage of agent states and transaction history
Natural Language Processing Layer
Interprets user commands and translates them into actionable instructions
Agent Execution Environment
Provides the runtime for AI agents to operate and interact with each other
Decentralized Consensus Mechanism
Ensures security, reliability, and immutability of the network
Data Storage Layer
Manages the persistent storage of agent states and transaction history
Consensus Mechanism
Agent Deployment Process
Agent Creation
Developers or users create an agent using natural language specifications
Validation
The network validates the agent’s code and resource requirements
Deployment
The agent is deployed to the network after paying the required $SAGE fee
Execution
The agent runs on the network, interacting with users and other agents
Monitoring & Updates
Agents can be monitored and updated by their creators
Network Fees
Similar to gas fees on blockchain networks, SAGE requires network fees for various operations:
Agent Deployment
Fees required to deploy new agents to the network
Transaction Execution
Fees for executing transactions and smart contracts
Data Storage
Fees for storing data on the network
Agent Interaction
Fees for agents to interact with each other
Layered Architecture
SAGE employs a layered architecture to ensure scalability, security, and flexibility:
Execution Layer
For running the AI agents and their operations in a secure, scalable environment
Verification Layer
For verifying work and understanding why agents took certain actions
Context Layer
Gives context for AI to work with
Orchestration Layer
Layer to coordinate multiple agents
Tooling Layer
Layer to allow tool use so agents can be more autonomous
Layer Interaction
Execution Layer ↔ Context Layer
Provides context for agents to work with
Verification Layer ↔ Context Layer
Ensures verifiable work with proper knowledge context
Context Layer ↔ Orchestration Layer
Provides knowledge systems for seamless agent collaboration
Orchestration Layer ↔ Tooling Layer
Enables agents to work together while maintaining autonomy
Security Model
Ready to learn more about the agents that power SAGE? Check out the agent system documentation.