Agno
An open-source framework for building fast, model-agnostic AI agents with memory and tools.
What is Agno?
Agno is a lightweight, open-source framework designed for building lightning-fast, model-agnostic multimodal AI agents. Formerly known under its original ecosystem branding like www.phidata.com, the Agno framework empowers developers to turn any large language model into an intelligent agent by seamlessly adding built-in memory, domain-specific knowledge, and external tools. It functions as a complete platform to build, ship, and monitor enterprise-grade agentic systems without vendor lock-in.
Best Agno use cases by task, role, industry, and platform
These use cases show where Agno fits best, ranked by fit score before popularity or pricing.
Agno Pricing Plans
Compare Agno free options, Agno paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.
Free, Pro is Coming Soon
Includes the core framework for building agents, agent playground, basic monitoring, pre-built AI product templates, and manual cloud deployment (BYOC).
Includes advanced monitoring, evaluations, human review, agent registry, pro support, agent optimizers, and automated DevOps (push to deploy). Free for students, educators, and startups under $2M funding.
Tailored enterprise features including agent security, agent guardrails, knowledge sync, architecture reviews, custom AI solutions, and a dedicated Slack channel.
Pricing updated:Jun 11, 2026
Agno AI Features
Agno Pros and Cons
Pros
- Completely open-source and technology agnostic with no infrastructure lock-in
- Minimal memory footprint, allowing users to spawn thousands of agents efficiently
- Free tier includes comprehensive access to the framework, basic monitoring, and templates
- Generous free Pro access for students, educators, and qualifying early-stage startups
Limitations
- Advanced features like evaluations, human review, and automated DevOps are listed as coming soon
- Users configuring custom local servers may occasionally run into setup bugs like an agno fastapi not found error if paths are misconfigured
- API limitations or token limits depend heavily on the underlying LLM provider being connected