Agno

Agno is a comprehensive Python framework designed for building and managing sophisticated multi-agent AI systems. It supports various levels of agentic complexity, from basic tool-using agents to collaborative workflows involving memory, state, and determinism. The platform is model-agnostic, enabling integration with different language models and AI tools while emphasizing advanced reasoning capabilities.

Key features include flexible execution modes such as sequential, parallel, conditional, and loop-based workflows, as well as dynamic smart routing based on content analysis. Agno accommodates multi-modal inputs and outputs, supports complex multi-agent orchestration, and incorporates built-in agentic search using vector databases. It also offers complete memory and session handling, which facilitates persistent and stateful interactions between agents.

Agno provides built-in debugging, event tracking, and evaluation tools to help developers monitor and diagnose agent performance and potential failures. Its integration capabilities extend to popular AI ecosystems and tools, supporting seamless connectivity with web scraping APIs and observability platforms for enhanced tracing and monitoring. This makes Agno suitable for developing a wide range of AI applications, from autonomous conversational agents to large-scale collaborative AI teams.

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Website: agno.com

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