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Agents that do real work. Each example demonstrates knowledge retrieval, multi-tool orchestration, structured output, or multimodal processing. 
from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.tools.yfinance import YFinanceTools

agent = Agent(
    model=OpenAIResponses(id="gpt-5.2"),
    tools=[YFinanceTools(stock_price=True, analyst_recommendations=True)],
    instructions=["Use tables to display data"],
    markdown=True,
)

agent.print_response("What's the outlook for NVDA?", stream=True)

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Knowledge & RAG

Agents that search, retrieve, and reason over knowledge bases.

Agno Assist

Documentation assistant with hybrid search and source attribution.

Deep Knowledge

Iterative RAG that breaks complex queries into sub-queries.

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Research & Analysis

Multi-tool agents for competitive intelligence and due diligence.

Competitor Analysis

Five-phase intelligence with Firecrawl and reasoning tools.

Research Agent

Journalism workflow with fact-checking across sources.

Startup Analyst

ScrapeGraph toolkit for investment due diligence.

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Multimodal

Agents that process audio, video, and generate speech.

Speech to Text

Structured transcription with timestamps and speakers.

YouTube Agent

Video analysis with timestamped topic segmentation.

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Integrations

Agents connecting to external platforms and protocols.

Social Media Agent

X/Twitter sentiment analysis and engagement metrics.

Web Extraction

Firecrawl to Pydantic structured output.

Translation Agent

Multi-step translation with emotion detection and TTS.

Airbnb MCP

Model Context Protocol integration with reasoning.