AgentOS

High-performance runtime for multi-agent systems_

Agno’s AgentOS delivers reliable, large-scale agent orchestration, enabling companies to run and manage complex multi-agent systems with confidence.

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Agno AgentOS dashboard showing live agents, teams, and workflows for managing multi-agent AI systems.User interface showing sections for Agents, Teams, and Workflows with the Knowledge Agent and News Platform marked as live, displaying icons for memory, knowledge, reasoning, tools, members, and models.
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Mark my words. Next big startup will be built on @AgnoAgi… and it might be mine.

@lebrxndxng

The hype is real. @AgnoAgi is what you've been looking for. I still can't believe it's so easy to use. So many new toys to play with.

@smilingnosrati

@AgnoAgi‘s framework is awesome. You can build agents, teams of agents, tools for agents, workflows and connect them to an UI, Telegram, Slack, WhatsApp… it’s just super flexible and easy to work with.

@bernhard_me

After using Langgraph for a while, tested and evaluated crewai and more, recently I'm starting new projects only with @AgnoAgi, everything just make more sense, well engineered, flexible and way way faster. You guys made an amazing job.

@IdanP70
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I'm actually very surprised how fast it is to get @AgnoAgi agents up and running. Like literally 2 minutes.

@MitchBernstein

GPT 4.1 + @AgnoAgi = TOTAL POWER! I'm in love with this pairing!

@LamarDealMaker

This video was completely generated with a single prompt. Coming soon to SlideShots!!

Thanks to @AgnoAgi

@JollyTanpreet

I have been using @AgnoAgi for a while now and can attest it is so much easier to use than other frameworks. Fast too!

@martintechlabs
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langchain / langgraph once lead the way but @AgnoAgi is the leader in agent frameworks right now. It is well engineered, more intuitive, and faster.

@LamarDealMaker

Just a few lines of code with the @AgnoAgi. Framework can generate cinematic-quality videos. We're living in the era where Hollywood-level content creation is becoming accessible to any developer willing to experiment.

@maxbraglia

Why is @AgnoAgi the best framework for Async. Unified API: same agent for sync & async, minimal code changes
consistent results, no event loop headaches. Async has never been this easy.

@n_sri_laasya
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🥗 Over the holidays, I built Sous Chef, an AI agent using @Agno to simplify my family’s meal prep. 🌟

Aishwarya Raghavan

@AgnoAgi is one of the most succinct Agentic frameworks out there. No wasted words.

@vkas_x

I don’t highlight this enough: the Memory & Knowledge system in @AgnoAgi is insanely powerful.

@maxbraglia
Loved by engineers at
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The next operating system is built for agents
A new operating system is emerging—one built for intelligent agents, agent automation, and managed state, enabling companies to move beyond simple chatbots to scalable multi-agent systems._
Why AgentOS

An agentic operating system to handle the heavy lifting_

Instant setup

A FastAPI app with pre-built endpoints so you can start building on day one.

Visibility and control

A control plane that connects directly to your AgentOS for testing, monitoring, and managing your system.

Reliable scale

Large-scale orchestration so you can run cooperating agents reliably and at speed.

All built on top of the fastest agentic framework on the market.

AI infrastructure without the tradeoffs_

Run securely in your own cloud

With Agno’s AgentOS, no data ever leaves your system. Conversations, memories, and workflow logs remain fully private and compliant.

Agno AgentOS interface showing secure session logs with timestamps.

Scale confidently without compromise

Agno’s future-ready architecture is designed to grow with your needs. It's composable and modular, letting you add new capabilities without rewriting core logic.

Agno AgentOS analytics dashboard showing a blue performance graph labeled ‘Query’ with peak uptime at 99.99%.

Integrate instantly without complexity

Add powerful features, connect to your most-used services, and leverage your favorite tools instantly with single-line integrations.

Python code snippet demonstrating simple integration of an agent and Slack using Agno AgentOS.

Help shape 
AgentOS_

Agno’s AgentOS is currently in preview, and we’re actively refining it based on usage and feedback. Install, experiment, and help shape the next generation of large-scale AI infrastructure.

Try AgentOS
3D illustration of stacked layers representing Agno AgentOS platform architecture.
Expose and connect agents natively

A true network of agentic systems_

Agno’s AgentOS doubles as an MCP server, enabling other agents and systems to connect directly and transforming isolated agents into a collaborative, large-scale AI ecosystem.

We’re building the very foundation of next-generation, large-scale AI collaboration.

Isometric illustration of connected AI agents representing Agno’s network of agentic systems.

Agno’s AgentOS FAQs_

What is Agno’s AgentOS?

Agno’s AgentOS is a pre-built FastAPI app for running your agentic system. It handles large-scale orchestration, persistent state, secure tool access, and built-in observability—so companies can scale from a single agent to thousands of concurrent sessions.

How is Agno’s AgentOS different from Agno’s Python framework?

Agno’s framework is for building agent logic (prompts, memory, knowledge, and integrations). Agno’s AgentOS is for running and scaling those agents in production. It provides conversation management, long-running state management, and enterprise-grade monitoring to keep multi-agent systems running continuously.

Where does AgentOS run?

AgentOS runs inside your own cloud or data center. You can deploy it as a Docker container wherever you like. All data—including conversation history, traces, and logs—remains inside your infrastructure. Nothing is sent to external services, making it ideal for security-conscious enterprises with strict compliance requirements.

Does AgentOS support multiple language models and tools?

Yes. Agno’s AgentOS inherits Agno’s plug-and-play integrations, allowing you to connect to multiple LLMs (OpenAI, Anthropic Claude, Google Gemini, open-source models) and external tools via Model Context Protocol (MCP) with single-line or day-zero integrations.

How does AgentOS ensure reliability at scale?

Agno’s AgentOS provides a pre-built FastAPI app for running your agentic system. FastAPI is the most trusted production web framework in the Python ecosystem. It is battle-tested for high concurrency, robustness, and predictable performance in large-scale deployments.

Get started with Agno_

1/

Set up your project

Import Agno into your Python environment and create your first agent. The framework’s clean API makes it easy to start small and iterate quickly.

2/

Define your agent

Define your agent’s purpose and capabilities: choose an LLM, add memory, connect data sources, and enable tools.

3/

Run and scale

Launch and monitor your agent in real time. Then, expand seamlessly from a single prototype to large-scale production.

GET STARTED
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Let’s build cool things together_

Open source is better together. Get support, share what you’re working on, and connect with like-minded people.
COMMUNITY
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From a single agent to an entire autonomous 
workforce_

Agno’s Agent OS: Designed for companies that demand scalability without compromise.
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