Agno
A fast, lightweight Python framework for building multi-agent systems with memory and tools.
Agno is a Python framework for agents that emphasises low overhead: fast instantiation and a small memory footprint per agent, which matters when you run many at once.
It covers the usual ground (tools, memory, knowledge, multi-agent teams) in a clean, model-agnostic API, and pairs with a runtime for serving agents in production.
Where it fits
A fit for Python teams building multi-agent systems where per-agent overhead and speed matter.
Where it does not fit
A younger ecosystem than the established frameworks: less of a fit when you want the deepest pool of examples and integrations.
Alternatives to Agno
The closest options on the map, and where each fits instead.
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CrewAI Multi-agent orchestration
Good when a task decomposes cleanly into distinct roles and you want a fast, readable way to express that collaboration.
Unlike Agno Hosted API
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LangGraph Graph orchestration
Reach for LangGraph when an agent needs real branching (loops, retries, human-in-the-loop pauses) and you want that control flow written down explicitly.
Unlike Agno Maturity: established
Pairs with
Commonly used alongside it.
