Build your own agent platform_

‍

Agents are becoming a competitive advantage for every product and team.
Agno lets you build, run and manage a fleet of agents in your own infrastructure.

TRY AGENTOS
CONTACT US
Loved by engineers at
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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
Top layer of a stacked isometric diagram with a control panel.
Top layer of a stacked isometric diagram with agents.
Top layer of a stacked isometric diagram with a memory card.
Top layer of a stacked isometric diagram with a grid matrix depicting the cloud.

You need an
agent platform_

If your code, data and logs live in different places.

If you don't have a unified view of your stack.

If you don't have agents building agents.
‍
You need an agent platform.

Designed for companies building agents,
not agent infrastructure_

This is what your engineering team would build if they had months, delivered in an afternoon.

API and MCP server, 50+ endpoints
Durability and persistence for every action
Streaming, background execution and resume
Auth, RBAC and per-user, per-request isolation
Web console to operate your system
Approval flows (HITL) and audit logs
Session and trace monitoring
Keeping up with 30+ model providers
Tracking new protocols: MCP, tool-calling, A2A
Maintaining and upgrading all of the above
Build on AgentOS
1 afternoon
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Build it yourself
~ 4 months
2 weeks
2 weeks
3 weeks
4 weeks
4 weeks
2 weeks
1 week
Ongoing
Ongoing
Ongoing
Built by people doing this full-time
A team of engineers and ongoing maintenance

The ecosystem is evolving at breakneck speed.

Own your agent stack _

Any Model

30+ providers behind one surface. Works across Chat, Responses and Interactions APIs.

Any Framework

Run agents built with Agno, Claude Agent SDK, LangGraph, DSPy or your homegrown system.

Your Cloud

BYOC: AWS, GCP, Railway or completely airgapped. AgentOS runs everywhere.
More about SDK

Stop maintaining what you didn't want to build in the first place_

The infrastructure layer you would maintain yourself: model providers, MCP, new tool-calling patterns, and emerging agent protocols, is maintained for you by a team obsessed with agent infrastructure.

“Agno moves at the speed of the models, which is very important because you don’t want to be left behind using something that worked six months ago.”
‍
-Darren Haligas, VP of Engineering at KeyData

The production layer, fully built_

more about AgentOS

APIs out of the box

Runs, sessions, memory, knowledge, traces are available via API the moment you connect an agent. Auto-improve using coding agents.

50+ endpoints
SSE
OpenAPI

Patterns production systems actually use

Stateless runtime, per-session isolation, JWT-based RBAC, structured tracing. These aren’t abstractions you want to debug at 2am.

FastAPI
horizontally scalable

Governance as a first-class concept

Guardrails, HITL and admin approval flows built into the runtime. Audit logs and post execution hooks keep an eye on sensitive actions.

Audit trail in your database

Scales the way your stack scales

AgentOS is a stateless application and fits the same operational patterns as the rest of your services. Scale horizontally to serve more load.

Tracing exported to your tools

Manage your system with a powerful control plane.

Full visibility and real-time control for engineers and operators. 
Chat, trace, monitor, and manage your AgentOS using the AgentOS UI.

Track, evaluate and improve system performance
Edit, organize and label user memories
Add, update and manage knowledge used by your agents
In-depth insight into every live interaction
Evaluate your agents across 3 dimensions: accuracy, reliability and performance.
[ Metrics ]
[ Memory manager ]
[ Knowledge manager ]
[ Session monitoring ]
[ Evaluations ]

Private by default. No data leaves your cloud.

Your AgentOS runs in your cloud. Usage, logs, metrics, traces, memory, knowledge, sessions, and user data stay in your environment.

Diagram showing Agno architecture where your app, Agent OS API, and control plane UI run fully in your own cloud, keeping all data private and under your control.An isometric diagram of 3 layers: your app, agent OS, your cloud
Diagram showing a non-Agno setup where your app connects to your cloud, but AI backend, monitoring service, and monitoring UI are hosted externally, sending data outside your environment.An isometric diagram of 2 sets of layers. One with your cloud and your app and a second one linked to it with external cloud and a monitoring system
[ With Agno ]
[ Without Agno ]

Monitor system in real-time

Keep everything in your database

Any cloud: AWS, GCP, Railway

Build together, ship faster_

Get support, share what you're building, and connect with fellow builders.
COMMUNITY
Join Discord

Get your agents into production_

You can spend the quarter building infrastructure, or you can ship on AgentOS today.

Try Agentos
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