Agents

Build and configure agents visually in AgentOS Studio.

Build production-grade agents via AgentOS Studio’s visual canvas. Wire up models, tools, and structured I/O into complex agentic workflows. Deploy instantly. No-code required.

Creating Agents

Create a new agent by selecting components from your Registry and configuring them in the properties panel:

Setting	Description
Model	Select from registered models
Tools	Attach registered tools and toolkits
Instructions	System-level instructions for the agent
Input/Output Schema	Structured I/O using registered Pydantic schemas
Memory	Enable memory for multi-turn conversations
Knowledge	Attach knowledge bases for RAG

Switch to the advanced JSON config editor for fine-grained control over agent settings.

Using Agents

Use Studio-built Agents in multiple ways:

• Chat directly with the agent via the Chat page
• Add to Teams for multi-agent collaboration
• Use in Workflows as step executors for automation pipelines

Save and Run

Once your agent is configured:

1. Save your agent to persist it to the registry
2. Navigate to the Chat page to interact with your agent
3. Send messages and receive responses in real-time
4. View tool calls, reasoning, and outputs as the agent works

Code Equivalent

Agents built in Studio are native instances of the ‘Agent’ class in the SDK.

from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.websearch import WebSearchTools

agent = Agent(
    name="Research Agent",
    model=OpenAIChat(id="gpt-5-mini"),
    tools=[WebSearchTools()],
    instructions="Research topics thoroughly using web search.",
    markdown=True,
)

Developer Resources

• Agent reference
• Building agents
• Studio Registry