AgentOS is the runtime and control plane layers of an Agno-built agent platform. Together with the Agno SDK, they form the three layers of the platform: SDK to build, Runtime to run, Control Plane to manage.Documentation Index
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- Production API: 50+ ready to use endpoints with SSE-compatible streaming.
- Data Ownership: Sessions, memory, knowledge, and traces stored in your database.
- Request Isolation: No state bleed between users, agents, or sessions.
- Security: JWT-based RBAC with hierarchical scopes.
- Observability: Traces stored in your database with no third-party egress or vendor lock-in.
- Governance: Guardrails, human-in-the-loop, and approval flows for full control.
- Multi-framework: Serve agents built with the Claude Agent SDK, LangGraph and DSPy alongside native Agno agents. See Multi-Framework Support.
agno_assist.py
Architecture
AgentOS has two parts:- Runtime: A FastAPI service that runs agents, teams, and workflows.
- Control plane: A UI for managing, monitoring, and debugging your system.

Private by Design
Most AI tooling stores your data on their servers. You pay retention costs, deal with egress fees, and depend on their security. AgentOS runs entirely in your infrastructure:- Your database: Sessions, memory, knowledge, traces. All stored where you control it.
- Zero transmission: No conversations, logs, or metrics sent to Agno.
- From browser to runtime: The control plane connects from your browser to the runtime. Agno stores no data except for your runtime endpoint. All data resides in your database.

Next Steps
Run Your First AgentOS
Initialize and serve a basic agent.
Connect AgentOS to UI
Manage AgentOS using a Web UI.
Control Plane
Inspect sessions and debug traces.
Learn More
Learn more about AgentOS
