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Agno - AI Agents for Engineers
Community listing
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AI Impact Score 100/100 · A
The organization Agno - AI Agents for Engineers uses the llms.txt standard for better discoverability by AI systems. Industry: Other. The website agno.com provides its llms.txt at https://agno.com/llms.txt. Listed since 13 June 2026.
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# Agno
> Agno is a self-driving agent platform that runs in your cloud: build agents, teams and workflows in pure Python with the Agno SDK, run them in production on the AgentOS runtime and manage them from the Agno Control Plane.
The SDK and AgentOS are open source. Agno is model-agnostic: bring OpenAI, Anthropic, Google or any supported provider and switch without rewriting your agents. The full developer documentation lives at https://docs.agno.com (LLM index: https://docs.agno.com/llms.txt).
## Products
- [AgentOS](https://www.agno.com/products/runtime): Agent runtime — turns the agents you build into a production service with one command, in your cloud, on your database, behind your auth
- [Agent SDK](https://www.agno.com/products/sdk): The Agent SDK for coding agents: three primitives (agents, teams and workflows) with capabilities you attach as your use case needs them
- [Control Plane](https://www.agno.com/products/control-plane): Watch every agent, team and workflow you run and step in when it matters, from one place
## Compare
- [Benchmarks](https://www.agno.com/benchmarks): Agent instantiation time and memory for Agno, LangGraph and CrewAI, measured with a public harness. Hardware, versions and dates included
- [Agno vs LangGraph](https://www.agno.com/compare/agno-vs-langgraph): Plain Python vs compiled graphs, and who ships the runtime. Every claim carries a source
- [Agno vs CrewAI](https://www.agno.com/compare/agno-vs-crewai): Role-based cr
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