Agno (formerly Phidata)
What is Agno (formerly Phidata)?
⚡ Quick Summary / TL;DRAgno (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)
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.
- Apache 2.0 licensed core
- Unlimited local agents
- Built-in Playground UI
- Community-led support
Professional / Cloud
Managed control plane and team features.
- Shared developer workspaces
- Prioritized agent runtimes
- Advanced monitoring dashboard
- Standard email support
Enterprise
Dedicated support and production compliance.
- 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.
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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