agentic-ai-engineering

by zkzkGamal · MCP Server · ★ 20

About agentic-ai-engineering

Agentic AI Engineering Agentic AI Engineering is a production-grade engineering resource for building modern agentic AI systems with LangChain, LangGraph, RAG, MCP, local models, and deployable Python services. The repository leads toward the architecture implemented in Chapter 5: a multi-node LangGraph assistant connected to a standalone MCP server, with intent routing, tool execution, response summarization, email tooling, math tools, automated tests, and GitHub Actions CI.

agentic-ailangchainlanggraphllmmcpmcp-clientmcp-server

Quick Facts

Stars20
Forks6
LanguageJupyter Notebook
CategoryMCP Server
LicenseMIT
Quality Score70.6910747055393/100
Last Updated2026-06-01
Created2026-02-17
Platformscli, mcp
Est. Tokens~604k

Compatible Skills

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Frequently Asked Questions

What is agentic-ai-engineering?

agentic-ai-engineering is Agentic AI Engineering is a production-grade engineering resource for building modern agentic AI systems with LangChain, LangGraph, RAG, MCP, local models, and deployable Python services.. It is categorized as a MCP Server with 20 GitHub stars.

What programming language is agentic-ai-engineering written in?

agentic-ai-engineering is primarily written in Jupyter Notebook. It covers topics such as agentic-ai, langchain, langgraph.

How do I install or use agentic-ai-engineering?

You can find installation instructions and usage details in the agentic-ai-engineering GitHub repository at github.com/zkzkGamal/agentic-ai-engineering. The project has 20 stars and 6 forks, indicating an active community.

What license does agentic-ai-engineering use?

agentic-ai-engineering is released under the MIT license, making it free to use and modify according to the license terms.

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