Save thousands of lines of code by building universal, domain-agnostic Multi-Agent Systems (MAS) through high-level semantic orchestration. This repository provides a production-ready blueprint for the Agentic Era, allowing you to replace rigid, hard-coded workflows with a dynamic transparent Context Engine that provides 100% transparency.
$ git clone https://github.com/Denis2054/Context-Engineering-for-Multi-Agent-Systems.git▲ +68 ★ this week
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.
YT Navigator: AI-powered YouTube content explorer that lets you search and chat with channel videos using AI agents. Extract insights from hours of content in seconds with semantic search and precise timestamps.
Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG)
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Data from GitHub · snapshot Nov 13, 2026