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Agno

AI Agents

Overview

A lightweight framework for building multi-modal AI agents with memory, knowledge, and tool-calling capabilities. It focuses on simplicity and speed, allowing for rapid deployment of specialized agent teams.

Agno (formerly Phidata) is a lightweight, high-performance Python framework for building multimodal agents with memory, knowledge, and tools. It emphasizes speed and minimal overhead, making agent instantiation fast and resource-efficient. It appeals to developers who want capable agents without a heavy framework.

Key Features

  • Lightweight, fast agent instantiation
  • Built-in memory and knowledge stores
  • Multimodal and tool-calling support
  • Agent teams and reasoning
  • Model-agnostic and Pythonic

Best For

Developers who want fast, lightweight multimodal agents without framework bloat.

Pros & Cons

Pros
  • Minimal overhead and high speed
  • Clean, Pythonic API
  • Good memory and knowledge primitives
Cons
  • Less batteries-included than larger platforms
  • Smaller ecosystem than LangChain
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Pulse Verdict

Fast, sleek, and highly capable. Agno (formerly Phidata) is the ideal choice for developers who want to build sophisticated agentic workflows without the bloat of larger frameworks.

Pricing

Open-source and free; you supply model API access.

Pricing changes often — confirm current plans on the official site.

Visit Official Website →

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