Agno
Build lightning-fast, multi-modal Reasoning Agents.
Build lightning-fast, multi-modal Reasoning Agents.
This page is designed to help you find out whether Agno is good and if it is the right choice for you.
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High Performance & Lightweight
Agno is designed as a lightweight, high-performance framework for building AI agents. It boasts agent instantiation times of around 2 microseconds and minimal memory footprint (~3.75 KiB per agent), making it significantly faster and more resource-efficient than many competing frameworks.
Model Agnostic
Agno is model-agnostic, supporting a wide range of model providers including OpenAI, Anthropic, Google, AWS Bedrock, Ollama, and many others. This flexibility allows developers to switch between providers easily without major code changes.
Multi-Modal Agent Support
The framework natively supports multi-modal agents that can handle text, images, audio, and video. This makes it versatile for building complex applications that need to process and reason across different types of media.
Built-in Agentic Features
Agno comes with a rich set of built-in features including memory, knowledge bases (with vector database support), structured outputs, tool integration, and the ability to build multi-agent teams with different coordination modes (route, coordinate, collaborate). This reduces the need for custom boilerplate code.
Active Development & Good Documentation
The project is actively maintained with frequent updates, has a growing community, and provides comprehensive documentation along with a cookbook of examples. It also offers an optional monitoring platform (agno.com) for debugging and observing agent sessions in real time.
We have collected here some useful links to help you find out if Agno is good.
Check the traffic stats of Agno on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Agno on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Agno's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Agno on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Agno on Reddit. This can help you find out how popualr the product is and what people think about it.
In this series of articles, we will explore three fundamental patterns in AI Agent development. We will use Python and the Agno framework, available on Github. - Source: dev.to / 10 months ago
Agno - a full-stack framework for building Multi-Agent Systems with memory, knowledge, and reasoning. - Source: dev.to / about 1 year ago
To test the server with an LLM you can use the agno-framework or your client SDK if you already have one. Agno is pretty easy to use. - Source: dev.to / about 1 year ago
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Is Agno good? This is an informative page that will help you find out. Moreover, you can review and discuss Agno here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
