Agents

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Creating Agents

• 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.
• Database: attach a database for the agent to use.
• Context Management: configure session summary manager, enable session summaries, number of history runs, add history to context, and add session summary to context.
• Memory: configure memory manager, enable agentic memory, update memory on run, and add memories to context.
• Knowledge: configure knowledge, search knowledge, and add knowledge to context.
• Session State: configure session state, add session state to context, and enable agentic state.

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Using Agents

• 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

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Code Equivalent

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,
)

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Developer Resources

• Agent reference
• Building agents
• Studio Registry