FlyAIBox/Agent_In_Action

Agentic AI 智能体开发实战

53
/ 100
Established

This project helps AI engineers, backend developers, and technical leaders design, build, and deploy AI agent systems for real-world business problems. It takes you from understanding core agent principles to creating complete applications, integrating tools, and deploying them with frontends and backends. You'll gain hands-on experience by building six enterprise-grade projects.

Use this if you are an AI engineer, backend developer, or tech lead looking to build robust, scalable, and maintainable AI agent applications for specific industry needs.

Not ideal if you are completely new to programming or large language models, as this course is designed for intermediate to advanced learners.

AI-application-development multi-agent-systems enterprise-AI AI-system-architecture LLM-finetuning
No Package No Dependents
Maintenance 10 / 25
Adoption 9 / 25
Maturity 13 / 25
Community 21 / 25

How are scores calculated?

Stars

77

Forks

33

Language

Jupyter Notebook

License

MIT

Last pushed

Jan 23, 2026

Commits (30d)

0

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