Don’t Miss This CrewAI Update to Transform YOUR AI AGents



AI Summary

Video Summary: Crew AI Updates and Code Examples

Crew AI Callbacks

  • New before kickoff and after kickoff callbacks introduced.
  • Update Crew AI to the newest version.
  • Use crew AI create crew command to see new decorators in the crew base.
  • before kickoff is an optional hook executed before the crew starts.
  • after kickoff is called after the crew finishes and outputs results.
  • Example provided showing how to print inputs and manipulate data before it’s sent to the crew.

Knowledge Support

  • Support added for enriching agents with Knowledge (capital K).
  • Knowledge allows agents to access structured data sources like PDFs, spreadsheets, etc.
  • Example shown using sampl knowledge.py to demonstrate how to give knowledge to an agent.
  • Knowledge is stored in a chroma database for efficient retrieval.

User Preferences and Memories with Mem Zero

  • Mem Zero (mem0) support for retrieving user preferences and memories.
  • Previous video covered mem0 with Autogen.
  • Example code provided for integrating mem0 with Crew AI using chat.
  • Demonstrated how to create a chatbot that uses mem0 to store and retrieve user preferences.
  • Showed how to use mem0 to give personalized recommendations based on stored memories.

Additional Updates

  • Async execution fixes.
  • Upgrades to CLI Watson supported models.
  • Reduced level for Bandit.
  • Fixed some tests and updated documentation.

Resources and Community

  • Mention of a school community and a Crew AI Master course with weekly updates.
  • Introduction to using n8n and Crew AI together.
  • Free gift offered in the no introduction course.
  • Code examples are available on GitHub.
  • Links to the Crew AI Master course and additional resources provided in the video description.

(Note: No specific CLI commands, website URLs, or detailed instructions were provided in the transcript text.)