Agno (formerly Phidata)
Open-source Python framework to build, monitor, and deploy AI agents.
About this tool
Best for
Multi-agent orchestration, agentic RAG, Python developers, and tool calling.
Key Features
- 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
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
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
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
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