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AgnoBuild, run, and manage AI agents and multi-agent teams in your own cloud.

4.8 (5)
Daniel NikulshynReviewed by Daniel Nikulshyn·Updated June 2026

Overview

Agno is an agent platform that allows users to build, run, and manage AI agents and multi-agent teams in their own cloud. It provides a private and secure environment for companies to build and run their agents, with features such as durability and persistence, streaming, and background execution. Agno supports a wide range of models and frameworks, including 30+ model providers, and allows users to build their own agent stack using their preferred cloud and infrastructure. The platform is maintained by a team of engineers and is designed to keep up with the evolving landscape of agent infrastructure.

Key features

  • Agent and multi-agent team creation
  • Deployment to user-owned cloud environments
  • Tool and data source integrations
  • Monitoring and management of running agents
  • Developer SDK and configuration controls

Pricing

Model
Freemium
Category
AI Agents
Rating
4.8 / 5 (5)

Use cases

Deploy agents in your own cloud

Build and run AI agents on self-owned cloud infrastructure to maintain control over data, costs, and compliance requirements.

Coordinate multi-agent teams

Design groups of specialized agents that collaborate on complex tasks, using Agno's orchestration primitives and tool integrations.

Monitor agents in production

Use built-in monitoring and management features to keep deployed agents reliable, observable, and maintainable over time.

Integrate tools and data sources

Connect agents to internal data sources and external tools via the developer SDK to automate workflows grounded in company context.

Pros & Cons

Pros

  • Self-hosted in your own cloud for better data control
  • Supports multi-agent teams and coordination
  • Covers both build and run phases of agent lifecycle
  • Developer-focused tooling and flexibility

Cons

  • Requires cloud infrastructure and technical setup
  • Less turnkey than hosted agent platforms
  • Learning curve for multi-agent orchestration

Reviews

4.8

Average from 5 ratings.

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Y

Yuki Mori

Feb 12, 2026

Does the job

Pretty happy overall. Agent and multi-agent team creation just works and self-hosted in your own cloud for better data control. but no dealbreakers — I'd recommend it to a friend without hesitating.

V

Victor Nguyen

Jan 28, 2026

Does the job

Pretty happy overall. Agent and multi-agent team creation just works and supports multi-agent teams and coordination. Less turnkey than hosted agent platforms can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

K

Kwame Mensah

Jan 10, 2026

Solid for our team

We rolled this out across the team last quarter and covers both build and run phases of agent lifecycle. Monitoring and management of running agents fits neatly into how we already work, and tool and data source integrations removed a step we used to do by hand. but it has held up under daily use.

B

Beatriz Costa

Nov 1, 2025

Does the job

Pretty happy overall. Tool and data source integrations just works and supports multi-agent teams and coordination. but no dealbreakers — I'd recommend it to a friend without hesitating.

M

Mei-Ling Wong

Oct 2, 2025

Solid for our team

We rolled this out across the team last quarter and covers both build and run phases of agent lifecycle. Deployment to user-owned cloud environments fits neatly into how we already work, and developer SDK and configuration controls removed a step we used to do by hand. but it has held up under daily use.

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