Build production-grade agents via AgentOS Studio’s. Wire up models, tools,
instructions, knowledge, memory, and more. Deploy instantly. No-code required.
Creating Agents
Create a new agent by selecting components from your Registry and configuring them in the properties panel:
- 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.
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
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
