context-engineering

by timothywarner-org

🧠 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.

17 stars17 forksActivePython
79
Good

📊 Score Breakdown

🛡️Security30%
5.0/5
Utility30%
2.0/5
🔄Maintenance25%
5.0/5
💎Uniqueness15%
4.0/5

Overall = Security (30%) + Utility (30%) + Maintenance (25%) + Uniqueness (15%). Full methodology →

ℹ️ Details

Ecosystem

MCP Server

Language

Python

Pricing

Free

License

MIT

Status

Active

Platforms

Claude

📈 GitHub Signals

17

Stars

17

Forks

0

Commits (30d)

3

Open Issues

Last commit: 6 months ago

ai-agentsai-memoryanthropicazure-ai-searchchromadbclaudecontext-engineeringfastapi

🏅 Show your score

Scored 79/100 for security, utility and maintenance. Add the badge to your README or site to show it, verified by an independent directory.

context-engineering scored 79/100 on SkillsIndex
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