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Agno is the current brand for the project previously known as Phidata. The tool record keeps the historical Phidata identity while pointing users to the Agno website and documentation.
Agno emphasizes performance in its positioning, but teams should review the current benchmark methodology and run their own workload-specific tests before relying on performance claims for production decisions.
Agno supports common model providers and local model workflows, including OpenAI, Anthropic, Google, Cohere, Mistral, and local/Ollama-style deployments according to the integrations listed in this record.
Agno is positioned around private deployment and customer-controlled infrastructure, especially through self-hosted and customer-cloud options. Teams should verify exact data handling, logging, and retention behavior in the current documentation.
Agno requires Python programming knowledge for agent development and deployment. It is more appropriate for developers and engineering teams than for nontechnical users seeking a no-code workflow builder.
Compare features, test the interface, and see if it fits your workflow.