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Agno (2026)

Expert Reviewed
by Albert SchaperLast reviewed: Oct 23, 2026

Build intelligent agents for translation, emotion, and voice—with Agno AI

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1 ratings
4.0
Monthly users
213K
Platform
Web App / API

Overview

Agno is an open-source Python framework (SDK) plus the AgentOS runtime and control plane for building, running and managing secure multi-agent systems in your own cloud. It is model-agnostic, keeps sessions, memory, knowledge and traces in a single database, and deploys through REST APIs, MCP (for ChatGPT and Claude) and Slack or Discord adapters.

Agno Conversational AI showing Conversational AI - Build intelligent agents for translation, emotion, and voice—with Agno AI

Key Features

Personalized AI interactions

The AI adapts to your communication style and preferences over time. Agno ships SDKs for Python alongside Web App, API,

Beyond text: voice & vision

Upload files, share screenshots, or paste code—the AI understands multiple input types.

Broad platform coverage

Runs on Web App, API, and Plugin/Integration so teams stay productive on their preferred devices.

Automation-ready endpoints

The API lets teams extend workflows programmatically and connect existing apps with minimal friction.

Tooling for engineering teams

Developers get client libraries that smooth integration work.

Built in the open

Open-source foundation—extend, audit, or self-host as needed.

Rate this Tool

4.0 / 5based on 1 rating

About Agno

“Build intelligent agents for translation, emotion, and voice—with Agno AI”

Agno is an open-source conversational ai tool developed by Agno (US) designed for software developers, ai enthusiasts and product managers. Agno offers an open-source Python framework and a high-performance runtime, AgentOS, designed for building, running, and managing secure multi-agent systems. It enables software developers to create self-learning agents with memory, knowledge, and guardrails, compatible with various models and databases. The platform is built for enterprise use, emphasizing privacy and security by default, allowing deployment within a user's cloud with a built-in control plane for chat, tracing, and monitoring. With over 213K monthly visits, Agno has established a significant user base. The tool operates on a subscription pricing model. It is available on Web App, API and Plugin/Integration. Developer integration is supported through Python SDKs. Agno offers Global hosting. Explore more conversational ai tools or browse all categories.

Agno Snapshot

Key facts we track so you can judge fit before visiting the provider.

Primary category
Conversational AI
Best fit
Software Developers, AI Enthusiasts, Product Managers +2 more
Platforms
Web App, API, Plugin/Integration
Pricing signal
Subscription
Provider context
Agno - US
Developer access
API documentation, Python
Data handling
Global hosting, Privacy policy linked
Evidence signals
213K monthly visits, 4.0 rating from 1 ratings, 3 community favorites +1 more

Before you choose Agno

  • Confirm Agno's current limits, renewal terms, and seat pricing on the official site.
  • Review privacy, retention, and data-processing terms before using sensitive data.
  • Test the integrations or API path against one real workflow before rollout.
  • Make sure the supported platform matches where your team actually works.

Listing data is compiled from structured provider information, public signals, submissions, and periodic checks where available. Treat this page as a shortlist aid, then verify pricing, compliance, and product limits with the provider before making a business-critical decision.

How Agno Works

Understanding the core functionality and approach of Agno.

Agno charges based on real activity, making it ideal for variable workloads. Budget planning becomes simpler when costs directly reflect output volume. Usage-based billing in Agno makes cost modeling important before production rollout.

Key Features

Explore what makes Agno stand out.

Personalized AI interactions

The AI adapts to your communication style and preferences over time. Agno ships SDKs for Python alongside Web App, API, and Plugin/Integration apps, so both end-users and developers are covered.

Beyond text: voice & vision

Upload files, share screenshots, or paste code—the AI understands multiple input types.

Broad platform coverage

Runs on Web App, API, and Plugin/Integration so teams stay productive on their preferred devices.

Automation-ready endpoints

The API lets teams extend workflows programmatically and connect existing apps with minimal friction.

Tooling for engineering teams

Developers get client libraries that smooth integration work.

Built in the open

Open-source foundation—extend, audit, or self-host as needed.

Use Cases

Discover how different audiences leverage Agno.

AI Enthusiasts

Personalized learning support

Educators use Agno to create lesson plans, generate practice exercises, and provide personalized feedback.

AI Enthusiasts

Boost remote productivity

Agno bridges time zones and locations with async-friendly workflows.

Software Developers

Streamline coding workflows

Build custom features on top of Agno's core functionality using the API.

FAQ about Agno

What is Agno and what does it do?

Agno is Build intelligent agents for translation, emotion, and voice—with Agno AI. Agno is an open-source Python framework (SDK) plus the AgentOS runtime and control plane for building, running and managing secure multi-agent systems in your own cloud. It is model-agnostic, keeps sessions, memory, knowledge and traces in a single database, and deploys through REST APIs, MCP (for ChatGPT and Claude) and Slack or Discord adapters. Available on Web App, API, Plugin/Integration, Agno is designed to enhance productivity and deliver professional-grade conversational ai capabilities.

How much does Agno cost?

Agno offers Subscription pricing options. Free $0/month (control plane for local AgentOS, unlimited usage and retention). Pricing is designed to scale with your needs, from individual users to enterprise teams. For the most current pricing details and plan comparisons, visit the official Agno pricing page or contact their sales team for custom enterprise quotes. Browse AI tools by pricing model to compare options.

Is Agno secure and compliant with data privacy regulations?

Agno takes data privacy seriously and implements industry-standard security measures. Data is hosted in Global, providing transparency about where your information resides. For comprehensive details about data handling, encryption, and privacy practices, review their official privacy policy. On-premise deployment options are available for organizations with strict data residency requirements. Security and compliance are continuously updated to meet evolving industry standards.
What platforms does Agno support?
Agno is available on Web App, API, Plugin/Integration. The web application provides full functionality directly in your browser without requiring downloads. API access allows developers to integrate Agno capabilities directly into their own applications and workflows. This multi-platform approach ensures you can use Agno wherever and however you work best.
What file formats does Agno support?
Agno accepts Prompts, messages and documents sent to agents through REST APIs, MCP or chat adapters. as input formats, making it compatible with your existing files and workflows. Output is delivered in Agent responses and actions returned via REST APIs, MCP clients, Slack or Discord., ensuring compatibility with downstream tools and platforms. This format flexibility allows seamless integration into diverse tech stacks and creative pipelines.
Who develops and maintains Agno?
Agno is developed and maintained by Agno, based in US. Most recently updated in October 2026, the platform remains actively maintained with regular feature releases and bug fixes. This ongoing commitment ensures Agno stays competitive and aligned with industry best practices.
How do I get access to Agno?
Agno is freely available to everyone without registration requirements. You can start using the platform immediately without going through lengthy approval processes.
How is usage measured and billed in Agno?
Agno uses API Calls, Pay-as-You-Go as billing metrics. API-based billing tracks the number of requests made to the service, providing predictable costs for developers. This usage model ensures you only pay for what you actually use, avoiding unnecessary overhead costs for features you don't need.
What deployment options does Agno offer?
Agno supports Cloud, OnPremise deployment configurations. Cloud-hosted options provide instant scalability without infrastructure management overhead. On-premise installations give organizations complete control over data residency and security policies. Choose the deployment model that best aligns with your technical requirements, security constraints, and operational preferences.
Who is Agno best suited for?
Agno is primarily designed for Software Developers, AI Enthusiasts, Product Managers and Business Executives. Professionals in conversational ai find it invaluable for streamlining their daily tasks. Whether you need automation, creative assistance, data analysis, or communication support, Agno provides valuable capabilities for multiple use cases and skill levels. Check out our developer guide for more recommendations.

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For tool providers

Keep Agno's listing accurate

Providers can update product facts, pricing context, screenshots, and launch notes. Paid placements are labeled separately and do not replace editorial or data-quality review.

How to Evaluate Agno

Use this page to evaluate Agno alongside similar conversational ai tools in our alternatives overview. The goal is not to pick the most popular product; it is to find the tool that fits your actual workflow, risk level, and budget.

  1. Step 1Test Agno with one real workflow before moving important work into it.
  2. Step 2Model the full monthly cost at your expected usage, including seats, limits, and overages.
  3. Step 3Verify the integration path with your existing stack before you commit.
  4. Step 4Review privacy, retention, and compliance terms before using sensitive data.

For developer teams, inspect the Python SDK. Review the API documentation for auth, rate limits, errors, and export behavior. For broader context, browse more conversational ai tools for software developers, or compare this page against the category hub. New to AI tool evaluation? Start with AI Tool Navigator.

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