
agents
一个为期6周的课程,学习使用OpenAI Agents SDK、CrewAI等工具开发和部署AI代理。
Repository Info
About This Server
一个为期6周的课程,学习使用OpenAI Agents SDK、CrewAI等工具开发和部署AI代理。
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
Master AI Agentic Engineering - build autonomous AI Agents
6 week journey to code and deploy AI Agents with OpenAI Agents SDK, CrewAI, LangGraph, AutoGen and MCP
!Autonomous Agent
If you're looking at this in Cursor, please right click on the filename in the Explorer on the left, and select "Open preview", to view the formatted version.
I couldn't be more excited to welcome you! This is the start of your 6 week adventure into the powerful, astonishing and often surreal world of Agentic AI.
Before you begin
I'm here to help you be most successful! Please do reach out if I can help, either in the platform or by emailing me direct (ed@edwarddonner.com). It's always great to connect with people on LinkedIn to build up the community - you'll find me here:
https://www.linkedin.com/in/eddonner/
And this is new to me, but I'm also trying out X/Twitter at @edwarddonner - if you're on X, please show me how it's done 😂
The not-so-dreaded setup instructions
Perhaps famous last words: but I really, truly hope that I've put together an environment that will be not too horrific to set up!
- Windows people, your instructions are here
- Mac people, yours are here
- Linux people, yours are here
Any problems, please do contact me.
Important notes for CrewAI week (Week 3)
- There are two ways that you can work on the CrewAI project in week 3. Either review the code for each project while I build it, and then do
crewai runto see it in action. Or if you prefer to be more hands-on, then create your own Crew project from scratch to mirror mine; for example, createmy_debateto go alongsidedebate, and write the code alongside me. Either approach works! - It's possible that you will need to run this command in a Cursor Terminal in order to run the Crew commands:
uv tool install crewai - Windows users: there's a new issue that was recently introduced by one of Crew's libraries. Until this is fixed, you might get a "unicode" error when you try to run
crewai create crew. If that happens, please try running this command in the Terminal first:$env:PYTHONUTF8 = "1"
Super useful resources
- The course resources with videos
- Many essential guides in the guides section
- The troubleshooting notebook
API costs - please read me!
This course does involve making calls to OpenAI and other frontier models, requiring an API key and a small spend, which we set up in the SETUP instructions. If you'd prefer not to spend on API calls, there are cheaper alternatives like DeepSeek and free alternatives like using Ollama!
Details are here.
Be sure to monitor your API costs to ensure you are totally happy with any spend. For OpenAI, the dashboard is here.
ABOVE ALL ELSE -
Be sure to have fun with the course! You could not have picked a better time to be learning about Agentic AI. I hope you enjoy every single minute! And if you get stuck at any point - contact me.
Quick Start
Clone the repository
git clone https://github.com/fichel/agentsInstall dependencies
cd agents
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
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