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Agno (formerly Phidata)

Agno (formerly Phidata)

Open-source Python framework to build, monitor, and deploy AI agents.

Agno (formerly Phidata) screenshot

What is Agno (formerly Phidata)?

⚡ Quick Summary / TL;DR

Agno (formerly Phidata) is an AI-driven AI Agents platform designed to open-source python framework to build, monitor, and deploy ai agents.. It is specifically optimized for creators, professionals, and teams seeking to streamline their workflow and enhance productivity.

Overview of Agno (formerly Phidata)

Agno (formerly known as Phidata) is an open-source Python framework designed to help developers build, monitor, and deploy intelligent AI agents. The framework provides clean abstractions to equip agents with memory, structured knowledge bases, and custom tools. By using a model-agnostic approach, it lets developers build agents that can reason, run code, and execute multi-turn tasks. The product is useful for Python developers, data scientists, and engineering teams building autonomous assistants, research bots, or customer support workflows. By using Agno, teams can coordinate teams of specialized agents, implement Agentic RAG, and query vector databases. It replaces the complex process of writing custom loop and memory tracking code. The main difference is Agno's focus on developer experience and visual testing. It includes a built-in agent UI called the Playground, which allows developers to test their agents and inspect tool executions in real-time. The core Python library is free and open-source under Apache-2.0, while paid tiers and corporate support agreements are available for enterprise deployments. For FutureStack, Agno belongs in AI Agents because its primary value is providing orchestration, tool-calling, and memory libraries for autonomous agent developers. It is best for Python engineers looking for a lightweight, modular framework to build agent teams. It is not for non-technical users seeking a plug-and-play chatbot builder.

Best for

Multi-agent orchestration, agentic RAG, Python developers, and tool calling.

Key Features of Agno (formerly Phidata)

  • Multi-agent orchestration to coordinate teams of specialized assistants
  • Agentic RAG with built-in support for vector databases and memory
  • Lightweight Playground UI for real-time testing and debugging
  • Model-agnostic design supporting OpenAI, Anthropic, Gemini, and Ollama

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Pricing summary

Agno (formerly Phidata) is free and open-source. Professional cloud plans offer collaborative features, with enterprise consulting and dedicated production support available through custom pricing.

Pricing & Plans for Agno (formerly Phidata)

Open Source

Free Python framework for agent development.

Free
  • Apache 2.0 licensed core
  • Unlimited local agents
  • Built-in Playground UI
  • Community-led support
Popular

Professional / Cloud

Managed control plane and team features.

Custom
  • Shared developer workspaces
  • Prioritized agent runtimes
  • Advanced monitoring dashboard
  • Standard email support

Enterprise

Dedicated support and production compliance.

Custom
  • Custom consulting services
  • Dedicated support channel
  • Corporate SLA agreements
  • VPC deployment options

Other pricing notes

  • Pricing checked on 2026-07-27 from the official Agno (phidata.com) pricing page.
  • Self-hosted deployments require no licensing fees or subscriptions.
  • Developer support agreements are available for high-volume enterprise clients.
Pricing last checked: July 2026Official pricing page

Pros & Cons of Agno (formerly Phidata)

Pros

  • Clean and intuitive Python API that is easy to learn
  • Core framework is free and open-source under Apache-2.0
  • Playground UI makes testing and debugging tool calls simple
  • Excellent support for local execution using Ollama
  • Highly active developer community and frequent updates

Cons

  • Transitioning code from Phidata to Agno requires updating imports
  • Requires Python programming experience to construct workflows
  • Enterprise support and advanced managed features can be costly
  • Managed control plane options are still developing
  • Advanced agents require careful monitoring to prevent infinite loops

Frequently Asked Questions about Agno (formerly Phidata)

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