Agno: The agent framework for Python teams
Blog post from WorkOS
Agno is an open-source framework that enables the construction of clean, composable, and Pythonic AI agents with tools, memory, and reasoning capabilities. It offers a declarative agent composition interface, where components are plug-and-play modules allowing for customization without vendor lock-in or framework ceremony. Built-in tools cover essentials like web search, financial data analysis, structured reasoning, code evaluation, and custom workflows, which can be mixed and matched or authored with minimal boilerplate. Agno also supports pluggable vector stores, short-term memory, long-term storage, and transparent reasoning, making it suitable for teams building agentic systems, startups shipping internal copilots, engineers experimenting with RAG, workflows, or multi-agent setups, and builders seeking full control over their agents' thinking, acting, and persisting. Getting started with Agno involves visiting the website and demo, accessing the GitHub repo, and installing the framework via pip.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Agents | 4 | 2,042 | 396 | 147 | -6% |
| LLM | 1 | 3,765 | 540 | 172 | -11% |
| Multi-agent systems | 1 | 157 | 60 | 34 | -75% |
| RAG | 1 | 899 | 167 | 74 | -45% |
| Real-time | 1 | 3,344 | 937 | 222 | -51% |
| Vector Search | 1 | 1,624 | 285 | 110 | -19% |
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