🔥 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.

Take control of your context. Orchestrate LLMs through APIs or private deployments with context automation using your data. Run anywhere - local, cloud, or bare metal.

🧠🔗 From idea to production in just few lines: Graph-Based Programmable Neuro-Symbolic LM Framework - a production-first LM framework built with decade old Deep Learning best practices

🧠 Context Engineering Research - Not just another agent collection, but using research and context engineering to function as a collective. Hub-and-spoke coordination through Claude Code.

Submodular optimization for context engineering: query fan-out, text selection, passage reranking

ApeRAG: Best choice for building your own Knowledge Graph and for Context Engineering

A minimalist MVP demonstrating a simple yet profound insight: aligning AI memory with human episodic memory granularity. Shows how this single principle enables simple methods to rival complex memory frameworks for conversational tasks.

🚀 A framework for Context Engineering using Google Gemini. Move beyond simple prompting and learn to systematically provide context to your AI coding assistant for more reliable, consistent, and complex software development.

Implementation of contextual engineering pipeline with LangChain and LangGraph Agents

Context engineering is the new vibe coding – it’s how to actually make AI coding assistants work. Gemini CLI is the best for this, and this repo is based on the coleam00 template made for Claude Code!

ContextX: Context-driven AI development framework powered by Claude Code. Transform documents into complete projects with intelligent agent workflows.

A curated collection of resources, papers, tools, and best practices for Context Engineering in AI agents and Large Language Models (LLMs).

practical claude code commands, prompts and sub-agents

Give Copilot a memory! MemoriPilot provides seamless, persistent context management that makes Copilot aware of your project decisions, progress, and architectural patterns - dramatically improving the relevance and quality of AI assistance.

AI-powered file organization and context engineering that understands content, not patterns. Automatically sorts temporary scripts from permanent docs while preserving your workflow. Works seamlessly with Claude Code hooks. Protects README, LICENSE, configs.

🧬 KIP is a Knowledge-memory Interaction Protocol designed for LLMs, aiming to build a sustainable learning and self-evolving memory system for AI Agents.

Kairos: An autonomous development supervisor powered by Context Engineering. It provides a living memory and a contextual constitution for your projects to prevent AI context loss.

Context Engineering For Writers (with Claude Swarm)

A pragmatic governance framework for AI-assisted software development. It provides structured protocols to transform any AI coding assistant into a reliable, context-aware engineering partner.

Context Engineering - The art of providing all the context for the task to be plausibly solvable by the LLM.