Agent_In_Action and all-agentic-architectures
Project A, a practical development handbook for agentic AI, would likely use the implementations from Project B, an extensive collection of agentic architectures, making them complements.
About Agent_In_Action
FlyAIBox/Agent_In_Action
Agentic AI 智能体开发实战
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.
About all-agentic-architectures
FareedKhan-dev/all-agentic-architectures
Implementation of 17+ agentic architectures designed for practical use across different stages of AI system development.
This resource provides practical, hands-on examples for building advanced AI systems that can reason, plan, and collaborate. It translates complex AI agent concepts into working code, showing how to create intelligent automation for tasks like financial analysis, personalized assistants, or content generation. AI developers, researchers, and engineers can use these detailed implementations to build robust and sophisticated AI agents.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work