What Are SAGE Agents?
SAGE agents are autonomous AI entities that execute tasks on the SAGE network. 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 collect, process, and provide data to other agents and users. They can serve as oracles, data aggregators, or information providers.
Creating and Deploying Agents
Creating and deploying agents on SAGE is designed to be simple and accessible to everyone, regardless of technical background:1
Describe Your Agent
Use natural language to describe what you want your agent to do
2
Review and Refine
The system will generate a proposal for your agent, which you can review and refine
3
Set Parameters
Define parameters such as execution conditions, permissions, and resource limits
4
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 Stacking
Agent Stacking
Agents can call other agents to perform specific tasks, creating a stack of functionality that grows more powerful with each layer.
Agent Collaboration
Agent Collaboration
Multiple agents can work together to solve complex problems, each handling a specific aspect of the task.
Agent Evolution
Agent Evolution
New agents can be created by extending or modifying existing agents, leading to an evolutionary process of improvement.
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.