Agent Framework
agno-agi/agno
agno-agi/agno· Python
Python framework for building multi-agent systems and serving them as production APIs.
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meta
- License
- Apache-2.0
- Primary language
- Python
- Last commit
- 2026-04-29
- Stats fetched at
- 2026-04-29
Agno is a Python framework for building agents, teams, and multi-agent workflows, then running them as long-lived services with memory, sessions, and tool integrations. It bundles the runtime (FastAPI-based serving), an agent UI, and hooks to ship to real users without writing a separate backend. Typical flow: `pip install agno`, define an Agent with model + tools, then expose it via the built-in playground or deploy to AgentOS. Model-agnostic — works with OpenAI, Anthropic, Gemini, local models via Ollama, etc.
Editor's verdict
Pick Agno if you want one stack covering agent logic + serving + UI, and don't want to glue LangGraph + FastAPI + a custom frontend yourself. The DX is cleaner than LangChain and faster to get to a deployable demo than CrewAI. Trade-off: you're buying into Agno's runtime opinions (AgentOS, their session/memory model), so it's less ideal if you need fine-grained graph control like LangGraph offers, or if you're embedding agents inside an existing service rather than running them standalone.