timothywarner-org/context-engineering
🧠Stop building AI that forgets. Master MCP (Model Context Protocol) with production-ready semantic memory, hybrid RAG, and the WARNERCO Schematica teaching app. FastMCP + LangGraph + Vector/Graph stores. Your AI assistant's long-term memory starts here.
Implements a 7-node LangGraph hybrid RAG pipeline combining vector semantic search (ChromaDB/Azure AI Search), graph-based relationship queries (SQLite + NetworkX), and in-memory scratchpad for session context—all exposed via FastAPI and FastMCP stdio transport for Claude Desktop, Claude Code, and VS Code integration. Includes hands-on labs teaching MCP tool/resource/prompt patterns, plus the WARNERCO Schematica reference application demonstrating production patterns for context injection, intent parsing, and multi-store retrieval orchestration.
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17
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17
Language
Python
License
MIT
Category
Last pushed
Feb 20, 2026
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0
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