Technical Overview
SAGE will be built on an architecture that combines the best aspects of decentralized technology with advanced AI capabilities.1
Natural Language Processing Layer
Interprets user commands and translates them into actionable instructions
2
Agent Execution Environment
Provides the runtime for AI agents to operate and interact with each other
3
Data Storage Layer
Manages the persistent storage of agent states and transaction history
Agent Deployment Process
1
Agent Creation
Developers or users create an agent using natural language specifications
2
Validation
The network validates the agent’s code and resource requirements
3
Deployment
The agent is deployed to the network after paying the required fee
4
Execution
The agent runs on the network, interacting with users and other agents
5
Monitoring & Updates
Agents can be monitored and updated by their creators
Network Fees
SAGE requires network fees for various operations:Agent Deployment
Fees required to deploy new agents to the network
Transaction Execution
Fees for executing transactions
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:1
Execution Layer
For running the AI agents and their operations in a secure, scalable environment
2
Verification Layer
For verifying work and understanding why agents took certain actions
3
Context Layer
Gives context for AI to work with
4
Orchestration Layer
Layer to coordinate multiple agents
5
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
Coming soon.