Agents
Understanding the AI agents that power the SAGE ecosystem
What Are SAGE Agents?
SAGE agents are autonomous AI entities that execute tasks on the SAGE network. Unlike traditional smart contracts that require coding knowledge to create and deploy, SAGE agents can be created and instructed using natural language, making them accessible to everyone.
SAGE agents can understand and execute complex instructions from simple natural language commands, resulting in a new generation of micro-apps that people use every day.
Agent Capabilities
Natural Language Processing
Agents can understand and interpret human language instructions
Autonomous Execution
Agents can operate independently once deployed, executing their programmed tasks
Composability
Agents can interact with and build upon other agents, creating complex systems
Adaptability
Agents can adapt to changing conditions and learn from interactions
Agent Types
SAGE supports various types of agents to serve different purposes within the ecosystem:
These agents execute financial transactions and agreements, similar to traditional smart contracts but with natural language interfaces. Examples include payment escrows, betting contracts, and token swaps.
User: “Create a contract that pays Alice 50 SAGEUSD if the temperature in New York exceeds 90°F tomorrow”
Agent: “Contract created. Will pay Alice 50 SAGEUSD if temperature > 90°F in New York tomorrow. Contract ID: #28F3A9”
These agents execute financial transactions and agreements, similar to traditional smart contracts but with natural language interfaces. Examples include payment escrows, betting contracts, and token swaps.
User: “Create a contract that pays Alice 50 SAGEUSD if the temperature in New York exceeds 90°F tomorrow”
Agent: “Contract created. Will pay Alice 50 SAGEUSD if temperature > 90°F in New York tomorrow. Contract ID: #28F3A9”
These agents collect, process, and provide data to other agents and users. They can serve as oracles, data aggregators, or information providers.
User: “Create an agent that tracks Bitcoin price and alerts me when it drops below 90,000 SAGEUSD”
Agent: “Price tracking agent created. Will alert you when BTC < 90,000 SAGEUSD. Agent ID: #7D2E1B”
These agents provide services to users and other agents, such as content creation, analysis, or task automation.
User: “Create an agent that summarizes news articles about AI and sends me daily updates”
Agent: “News summarization agent created. Will send daily AI news summaries. Agent ID: #9F4C2D”
Creating and Deploying Agents
Creating and deploying agents on SAGE is designed to be simple and accessible to everyone, regardless of technical background:
Describe Your Agent
Use natural language to describe what you want your agent to do
Review and Refine
The system will generate a proposal for your agent, which you can review and refine
Set Parameters
Define parameters such as execution conditions, permissions, and resource limits
Pay Deployment Fee
Pay the required $SAGE fee to deploy your agent to the network
Monitor and Manage
Once deployed, you can monitor and manage your agent through the SAGE interface
Agent Composability
One of the most powerful features of SAGE is agent composability - the ability for agents to interact with and build upon each other:
Agent Economy
SAGE agents participate in an economic ecosystem where they can:
Earn Fees
Agents can charge fees for their services, creating income for their creators
Pay for Resources
Agents must pay for computational resources and storage they use on the network
Exchange Value
Agents can exchange value with users and other agents through transactions
Create Markets
Agents can create and participate in markets for goods, services, and information
The agent economy creates a self-sustaining ecosystem where value flows to those who create useful agents, incentivizing innovation and quality.
Ready to learn more about the SAGE ecosystem? Explore SAGE token documentation.
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