Agno

Agno

Agno pairs an open-source Python agent framework with AgentOS, a self-hosted runtime and control plane for production multi-agent systems.

Category:AI Agent
paid
Last Updated 8/28/2026

About Agno

Agno is a developer platform for building, running, and managing multi-agent systems. Its open-source Python framework supplies agents, teams, and workflows that can use different models, tools, memory, knowledge, and structured outputs. AgentOS adds an API and MCP server with more than 50 endpoints, durable sessions, streaming, background execution, per-user and per-request isolation, tracing, approvals, audit logs, RBAC, and a web console. It runs in the customer’s cloud, including AWS, GCP, Railway, and air-gapped environments. Usage data, logs, metrics, traces, memory, knowledge, sessions, and user data stay in that environment. AgentOS can also operate systems built with Agno, Claude Agent SDK, LangGraph, DSPy, or internal code, and Agno provides one surface for more than 30 model providers. This combination suits Python and platform teams that want to control deployment and data without assembling the production layer from separate components. Teams still need to operate the runtime, test compatibility with their stack, and decide whether the local Free option is enough or live control-plane access justifies the Pro cost. Pro is $150 per month for one live connection and four total seats, with separate monthly charges for additional seats and connections. Enterprise uses custom pricing and adds dedicated support, custom SSO and RBAC, custom solutions, and a self-hosted Control Plane.

Best for

Python teams building and operating multi-agent applications
Platform teams that want agent data and runtime infrastructure in their own cloud
Organizations that need production APIs, monitoring, approvals, audit logs, and RBAC

Best use cases

Build agents, teams, and workflows with models, tools, memory, and knowledge

Expose agent systems through production APIs and MCP endpoints

Monitor sessions and traces while managing evaluations, approvals, memory, and knowledge

Compare before choosing

Choose Agno when self-hosted runtime and data control matter more than a fully hosted no-code experience

Compare the Pro price and add-on charges against the expected number of operators and live systems

Verify provider, framework, deployment, and security compatibility before standardizing on AgentOS

Features

Build multi-agent systems

Compose agents, teams, and workflows while connecting models, tools, memory, knowledge, and structured outputs.

Operate AgentOS in your cloud

Deploy the stateless runtime on your infrastructure and expose runs, sessions, memory, knowledge, and traces through APIs.

Monitor and govern production agents

Use the control plane for chat, tracing, metrics, evaluations, memory and knowledge management, approvals, audit logs, and RBAC.

Bring existing agent frameworks

Run systems built with Agno, Claude Agent SDK, LangGraph, DSPy, or an internal framework behind one operational layer.

Pros

  • The open-source framework and local AgentOS path provide a no-cost entry point for building and testing multi-agent systems.
  • AgentOS keeps usage data, logs, traces, memory, knowledge, sessions, and user data inside the customer’s infrastructure.
  • More than 50 endpoints, monitoring, evaluations, approvals, audit logs, and RBAC reduce the number of production components teams must assemble.

Cons

  • Teams remain responsible for deploying and operating AgentOS infrastructure in their own cloud or air-gapped environment.
  • Pro costs $150 per month, and extra seats and live connections add separate recurring charges.
  • Organizations must verify compatibility across their chosen model providers, agent framework, deployment platform, and security controls.

Pricing Plans

Free

FreeNo billing cycle listed
  • Open source access
  • Build multi-agent systems
  • Run agent systems using AgentOS
  • Local AgentOS Control Plane
  • Chat with agents, teams, and workflows
  • Session monitoring and metrics
  • Knowledge and memory management
  • System evaluations
  • Jumpstart projects and community support

Pro

$150/moMonthly
  • Everything in Free
  • Control Plane for live AgentOS
  • 1 live connection
  • 4 total seats included
  • Unlimited usage, monitoring, retention, knowledge, memories, and chats
  • $30/mo per extra seat
  • $95/mo per extra live connection

Enterprise

CustomContract
  • Everything in Pro
  • Dedicated Slack channel
  • Dedicated technical lead
  • Support SLA
  • Custom SSO and RBAC
  • Custom agent solutions
  • Self-hosted Control Plane

* Pricing information is for reference only. Please refer to the latest announcement on Agno's official website.

FAQ

Agno suits Python and platform teams building multi-agent systems that need a path from agent logic to production APIs, persistent sessions, monitoring, evaluation, governance, and an operator-facing control plane.
AgentOS is Agno’s runtime layer for agent platforms. It provides APIs and MCP access, persistence, background execution, session isolation, tracing, approval flows, audit logs, and a web console for operating connected systems.
AgentOS runs in the user’s cloud, including AWS, GCP, Railway, or an air-gapped environment. Agno states that usage data, logs, traces, memory, knowledge, sessions, and user data remain in that environment.
Agno lists Free, Pro, and Enterprise options. Pro costs $150 per month and includes one live connection and four total seats; extra seats cost $30 per month and extra live connections cost $95 per month.
Agno presents a single surface for more than 30 model providers and says AgentOS can run systems built with Agno, Claude Agent SDK, LangGraph, DSPy, or a homegrown framework.
Teams should test their deployment model, provider and framework compatibility, security and RBAC requirements, observability workflow, infrastructure ownership, and the number of paid seats and live connections they expect to need.
A framework-only option may cover agent composition. Agno adds an operational layer with production endpoints, durable sessions, monitoring, evaluation, approvals, audit logs, RBAC, and a management console.

Tool Information

DeveloperAgno
Release Date4/5/2026
Pricingpaid

Related Tags

AI agent frameworkMulti-agent systemsAgent runtimeDeveloper toolsAgentOps