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.

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Established

This project helps you build AI assistants that can 'remember' past interactions and information, preventing the common problem of AI forgetting context. You feed it data and instructions, and it produces an AI system with robust long-term memory capabilities. This is for AI developers, researchers, and engineers who want to create more intelligent and consistent conversational AI.

Use this if you are developing AI assistants and struggle with them losing context or 'forgetting' information over time, and you need a robust solution for semantic and episodic memory.

Not ideal if you are looking for a pre-built, ready-to-deploy AI assistant and don't plan to engage in system development or integration work.

AI-development conversational-AI large-language-models semantic-memory AI-engineering
No Package No Dependents
Maintenance 10 / 25
Adoption 6 / 25
Maturity 15 / 25
Community 19 / 25

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Stars

17

Forks

17

Language

Python

License

MIT

Last pushed

Feb 20, 2026

Commits (30d)

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