AI Infrastructure · GitHub ·3,050 ★

Awesome-Context-Engineering

🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.

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Details

Author
Meirtz
Category
AI Infrastructure
Platform
GitHub
Framework
custom
Language
unknown
Stars
3,050
First indexed
2026-05-15
Last active
2026-03-10
Directory sync
2026-05-15
@Meirtz@karpathyme.meirtz.com/aboutDiscord

Overview

🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.

Quick start

git

git clone https://github.com/Meirtz/Awesome-Context-Engineering

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What Awesome-Context-Engineering can do

frameworkllmragprompt
  • Framework — framework task automation.
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Prompt — prompt task automation.

Frequently asked questions

What is Awesome-Context-Engineering?
🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.
How do I install Awesome-Context-Engineering?
Use git: `git clone https://github.com/Meirtz/Awesome-Context-Engineering`. Full setup details on the source page linked above.
Is Awesome-Context-Engineering open source?
Awesome-Context-Engineering is published on GitHub.
What are alternatives to Awesome-Context-Engineering?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for Awesome-Context-Engineering is sourced from GitHub, published by Meirtz.

Last scraped: · First indexed:

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