Agent Runtime

AgentOS runs agents, teams, and workflows as an API service. A production runtime needs to:

Run components on demand through API requests or interfaces such as Slack and Telegram.
Maintain sessions across minutes, days, or weeks.
Preserve state across restarts, replicas, and infrastructure failures.
Protect application routes from unauthenticated access.
Record runs and actions for monitoring.

AgentOS serves native Agno components and adapters for the Claude Agent SDK, LangGraph, DSPy, and Antigravity. This minimal persistent deployment uses PostgreSQL for agent and runtime state:

my_app.py

from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.openai import OpenAIResponses
from agno.os import AgentOS

db = PostgresDb(db_url="postgresql+psycopg://user:pass@host:5432/agno")

agent = Agent(model=OpenAIResponses(id="gpt-5.5"), db=db)

agent_os = AgentOS(agents=[agent], db=db)
app = agent_os.get_app()

if __name__ == "__main__":
    agent_os.serve(app="my_app:app", reload=False)

This script starts a FastAPI application that can scale horizontally. The database persists sessions. Streaming is available by default; JWT authorization, tracing, and scheduling are optional AgentOS settings.

What the runtime gives you

The runtime covers the ground between your agent code and a production service:

Concern	How AgentOS handles it
HTTP API	Auto-generated endpoints for every registered agent, team, and workflow
Persistence	Sessions and enabled memory features persist to your `db`
Streaming	Run endpoints support SSE; tokens and tool calls stream when `stream=true`
Auth	Set `authorization=True` and configure a JWT verification key to enforce RBAC scopes
Scheduling	Set `scheduler=True` to poll the database and fire due jobs in process
Observability	Set `tracing=True` to write OpenTelemetry traces to the AgentOS database
Interfaces	Slack, Telegram, WhatsApp, A2A, AG-UI
Human in the loop	Pause runs for user confirmation, admin approval, or external execution

See Multi-framework support for adapter setup.

Explore

Agent API

Run your agent platform as an API.

Agent Storage

Add durability and persistence.

Observability

Tracing, run history, and audit logs in your own database.

Security and Auth

JWT validation, RBAC scopes, and per-request isolation.

Scheduling

In-process cron and multi-step workflows.

Interfaces

Reach users on Slack, Telegram, WhatsApp, A2A, and AG-UI.

Welcome

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Features

Use Cases

Agent Runtime

What the runtime gives you

Explore

Agent API

Agent Storage

Observability

Security and Auth

Scheduling

Interfaces

​What the runtime gives you

​Explore

Agent API

Agent Storage

Observability

Security and Auth

Scheduling

Interfaces

What the runtime gives you

Explore