AI Agents Now Generate 88% as Much Search Traffic as Humans
BrightEdge data shows AI agent requests have reached 88% of human organic search volume. By end of 2026, AI agents may surpass human-driven search entirely.
Agno (formerly Phidata) is the "just works" agent framework. Minimal configuration, multi-modal support, built-in memory, and a monitoring dashboard β ship production agents fast.
Agno (rebranded from Phidata in late 2025) focuses on getting agents into production with minimal friction. While other frameworks emphasize complex orchestration or fine-grained control, Agno prioritizes simplicity: define an agent in a few lines, add tools, and deploy.
What sets Agno apart is its multi-modal support (text, images, audio, video), built-in memory and knowledge persistence, agent teams for collaboration, and a monitoring dashboard β all included out of the box. Data stays local by default, with no information sent to third parties.
Lightweight agent definition with model, tools, and instructions in ~5 lines of code.
Native support for text, images, audio, and video inputs and outputs.
Built-in vector database integration and conversation memory persistence.
Included dashboard for tracking agent performance, costs, and behavior.
Go from idea to working agent in minutes. Perfect for hackathons and proof-of-concepts.
Build agents that can see images, hear audio, and generate visual outputs.
Create agents with persistent knowledge bases that learn and improve over time.
Coordinate multiple specialized agents with automatic delegation and reporting.
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.duckduckgo import DuckDuckGoTools
agent = Agent(
model=OpenAIChat(id="gpt-4o"),
tools=[DuckDuckGoTools()],
show_tool_calls=True,
markdown=True
)
agent.print_response("What are the top AI agent frameworks in 2026?")That's it β a fully functional web-searching agent in 8 lines of code.
See how Agno compares to LangGraph, CrewAI, OpenClaw, and 9 other frameworks in our 2026 comparison.
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