Denis2054/Context-Engineering-for-Multi-Agent-Systems
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.
Implements a dual-RAG architecture with automated input sanitization and source-verifiable citations, orchestrated via the Model Context Protocol (MCP) for modular agent workflows. Built-in token analytics dashboard tracks input/output costs and model verbosity across all agents. Supports both OpenAI API (GPT-5.1+) and sovereign DeepSeek-R1 deployments, with an interactive HTML trace renderer providing real-time visibility into agent reasoning chains.
188 stars.
Stars
188
Forks
59
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 13, 2026
Commits (30d)
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