Phidata

It is an open-source platform designed to build, ship, and monitor agentic systems, enabling developers to create high-performance AI agents with memory, knowledge, and tools.

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Phidata AI Agent Competitors

It is an open-source platform designed to build, ship, and monitor agentic systems, enabling developers to create high-performance AI agents with memory, knowledge, and tools. Agno provides a comprehensive environment for developing agentic systems, offering support for databases, vector storage, APIs, and more, allowing users to go from concept to production in minutes. The platform is model-agnostic, meaning agents can utilize any model from any provider, including closed models like OpenAI, Anthropic, and Cohere, as well as open-source models via Ollama, Together, and Anyscale. If a specific model or provider is missing, Agno commits to adding it within a week upon request.

Agno is compatible with every major database and vector store on the market, such as Pinecone, LanceDB, and SingleStore, ensuring flexibility and scalability for diverse use cases. If a required database or vector store is not supported, Agno promises to integrate it within a week. The platform also features an Example Gallery, offering in-depth examples and code for various applications, ranging from basic agents and function calling to advanced fine-tuning and evaluations. Users can request specific examples, and Agno will add them to the gallery.

Agno Pro, a premium version of the platform, is offered free of charge to students, educators, and startups with less than $2 million in funding, with discounts available upon request. The platform is designed for performance and scalability, making it suitable for building future-proof, high-performance AI agents. Agno emphasizes its ability to enhance large language models (LLMs) by integrating memory, knowledge, and tools, enabling developers to stay ahead in AI innovation and build smarter AI products. The platform is open-source, model-agnostic, and optimized for speed, ensuring it remains a cutting-edge solution for agentic system development.

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