Show HN: Agno – A full-stack framework for building Multi-Agent Systems
a year ago
- #Multi-Agent Systems
- #AI Framework
- #Performance
- Agno is a full-stack framework for building Multi-Agent Systems with memory, knowledge, and reasoning.
- Agno supports 5 levels of Agentic Systems, from basic tool usage to complex workflows with state and determinism.
- Key features include model agnosticism, high performance, native multi-modality, advanced multi-agent architecture, and built-in agentic search.
- Agno provides built-in memory and session storage, structured outputs, pre-built FastAPI routes, and real-time monitoring.
- Example provided for building a Reasoning Agent using YFinance API and Claude model.
- Agno emphasizes performance with agent instantiation in ~3μs and ~6.5Kib memory usage on average.
- Comparison with LangGraph shows Agno's superior performance in instantiation and memory usage.
- Agno documentation can be integrated into Cursor for faster development.
- Community resources include docs, cookbook, forum, and Discord.
- Telemetry can be disabled by setting AGNO_TELEMETRY=false.