Agno

What is Agno?

Agno is a Python framework for building AI agents, teams and workflows, paired with AgentOS, a FastAPI-based runtime that serves them as a product API, an MCP server or through chat apps like Slack, Telegram and WhatsApp. The SDK covers memory, knowledge, guardrails and more than 100 integrations. AgentOS adds what a prototype lacks: database-backed sessions, background execution, human approvals, multi-user access control with JWT and RBAC, tracing, evals and schedules, all running in your own infrastructure with data stored in databases you choose. The Control Plane at os.agno.com is a browser interface to chat with agents, inspect traces, manage memory and knowledge, and build components in a visual Studio. Deployment templates cover Railway, Docker, AWS, Fly.io, Google Cloud, Kubernetes, Azure and Modal. The framework is open source; the docs say live Control Plane connections require a Pro subscription, with no price shown.

Use cases

• Build multi-agent teams in Python
• Serve agents as a REST API
• Expose agents as an MCP server
• Put agents in Slack or WhatsApp
• Trace and evaluate agent runs
• Require human approval for tool calls

Who it's for

• Python developers
• AI engineers
• Platform teams

Why use Agno

• The same agent code moves from a local script to a hosted service without a rewrite.
• Your runtime and data stay in your own infrastructure, with the Control Plane connecting from your browser.
• Built-in tracing, evals and approvals help you debug and govern agents before launch.
• Starter templates cut setup time for common cloud targets and include coding-agent skills.

Agno features

• Agents, teams and workflows built with the Agno SDK
• AgentOS FastAPI runtime with streaming and session isolation
• REST, SSE, WebSocket, MCP, A2A and AG-UI interfaces
• Slack, Telegram and WhatsApp interfaces
• JWT authorization with RBAC and service accounts
• Tracing with tree and waterfall views
• Human approvals that pause tool executions
• Visual Studio canvas for building agents
• Scheduler and durable background execution
• Adapters for Claude Agent SDK, LangGraph and DSPy
• Deployment templates for Railway, AWS, Fly.io and Kubernetes

Agno integrations

• Slack
• Telegram
• WhatsApp
• PostgreSQL
• OpenAI
• LangGraph
• DSPy
• Claude Agent SDK
• Railway
• Docker
• Fly.io
• Modal

How to get started with Agno

1. Install with uv pip install -U "agno[os,mcp,openai]" and set your model API key.
2. Define an Agent, add a database for sessions and tools, and wrap it in AgentOS.
3. Run the app locally and open the generated REST docs at localhost:7777/docs.
4. Connect the runtime to the Control Plane at os.agno.com to chat, trace and manage it.
5. Deploy from a template, such as Railway with PostgreSQL, and set a JWT verification key.

Agno limitations

• Live connections from the Control Plane to AgentOS require a Pro subscription
• Token-based auth is on by default, so a first deploy needs a verification key
• You provision and pay for your own hosting, database and model keys

Agno pricing

Agno is open source, so you can use and self-host it for free.

Agno plans

• Open source

  Free

  Self-hosted

  • Agno SDK
  • AgentOS runtime
  • Deployment templates

• Pro

  Price on vendor site

  Control Plane live connections

  • Live connections to AgentOS
  • Hosted Control Plane at os.agno.com

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

Agno alternatives

The main Agno alternatives listed on Debuly are LangGraph, CrewAI, AutoGen, LlamaIndex, OpenAI Agents SDK and Mastra. The table compares pricing and platforms; order is A–Z.

1. 

   AutoGen

   Microsoft's MIT-licensed Python and .NET framework for multi-agent AI apps, now archived; new projects are pointed to Microsoft Agent Framework.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit AutoGen (official site)
2. 

   CrewAI

   Multi-agent framework and platform for building AI agent crews in Python or a visual editor, then deploying and monitoring them.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit CrewAI (official site)
3. 

   LangGraph

   Low-level open-source orchestration framework and runtime for building stateful, long-running AI agents as graphs.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit LangGraph (official site)
4. 

   LlamaIndex

   Open-source framework plus the LlamaParse platform for parsing, extracting and indexing documents so LLM apps can use them.

   Developer platformsResearch and searchAutomation and agents
   FreemiumVisit LlamaIndex (official site)
5. 

   Mastra

   Open source TypeScript framework for building AI agents and workflows, plus a hosted platform for Studio, Server, memory and observability.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit Mastra (official site)
6. 

   OpenAI Agents SDK

   Open-source Python framework for building multi-agent workflows with tools, handoffs, guardrails, tracing, sandboxes and voice agents.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit OpenAI Agents SDK (official site)

Agno FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from docs.agno.com · fetched 23 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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