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adding shoutout to enterprise

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João Moura
2025-02-09 12:55:26 -05:00
committed by Devin AI
parent faac5f584e
commit 2f1659daa0
1 changed files with 12 additions and 4 deletions
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16
README.md
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@@ -1,10 +1,18 @@
<div align="center">
![Logo of CrewAI, two people rowing on a boat](./docs/crewai_logo.png)
![Logo of CrewAI](./docs/crewai_logo.png)
# **CrewAI**
🤖 **CrewAI**: Production-grade framework for orchestrating sophisticated AI agent systems. From simple automations to complex real-world applications, CrewAI provides precise control and deep customization. By fostering collaborative intelligence through flexible, production-ready architecture, CrewAI empowers agents to work together seamlessly, tackling complex business challenges with predictable, consistent results.
**CrewAI**: Production-grade framework for orchestrating sophisticated AI agent systems. From simple automations to complex real-world applications, CrewAI provides precise control and deep customization. By fostering collaborative intelligence through flexible, production-ready architecture, CrewAI empowers agents to work together seamlessly, tackling complex business challenges with predictable, consistent results.
**CrewAI Enterprise**
Want to plan, build (+ no code), deploy, monitor and interare your agents: [CrewAI Enterprise](https://www.crewai.com/enterprise). Designed for complex, real-world applications, our enterprise solution offers:
- **Seamless Integrations**
- **Scalable & Secure Deployment**
- **Actionable Insights**
- **24/7 Support**
<h3>
@@ -392,7 +400,7 @@ class AdvancedAnalysisFlow(Flow[MarketState]):
goal="Gather and validate supporting market data",
backstory="You excel at finding and correlating multiple data sources"
)
analysis_task = Task(
description="Analyze {sector} sector data for the past {timeframe}",
expected_output="Detailed market analysis with confidence score",
@@ -403,7 +411,7 @@ class AdvancedAnalysisFlow(Flow[MarketState]):
expected_output="Corroborating evidence and potential contradictions",
agent=researcher
)
# Demonstrate crew autonomy
analysis_crew = Crew(
agents=[analyst, researcher],