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    3. Awesome Context Engineering

    Awesome Context Engineering

    Comprehensive survey on Context Engineering covering everything from prompt engineering to production-grade AI systems, including hundreds of papers, frameworks, and implementation guides for LLMs and AI agents in 2026.

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    Information

    Websitegithub.com
    PublishedMar 20, 2026

    Categories

    1 Item
    Machine Learning & Ai

    Tags

    3 Items
    #ai-agents#llm#prompt-engineering

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    6 result(s)

    Awesome LLM Prompt Optimization

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    A curated list of awesome LLM agent frameworks, tools, and resources for building autonomous AI agents with large language models. Includes multi-agent systems, memory architectures, and evaluation frameworks updated for 2026.

    Awesome GPT Prompt Engineering

    Comprehensive collection of prompt engineering resources, techniques, and tools for working with GPT and other large language models, including prompt libraries, best practices, and community resources.

    Awesome Agentic Workflow

    A curated collection of GitHub repositories focused on agentic workflows, autonomous agents, multi-agent systems, and AI workflow automation, serving as a comprehensive resource for intelligent agent frameworks.

    Overview

    A comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. This repository contains hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.

    Key Concepts

    In 2026, context engineering has evolved beyond simple prompt engineering to encompass the entire agent harness - the runtime loop that manages:

    • Plans and subagents
    • Checkpoints and recovery from failure
    • File and tool execution
    • Approval workflows

    Features

    • Extensive collection of research papers on context engineering
    • Production-ready frameworks and tools
    • Implementation guides for LLM applications
    • Best practices for context window management
    • Agent system design patterns
    • Multi-agent architecture resources

    Target Audience

    Perfect for developers building AI agents, LLM applications, and production AI systems who need to optimize context management and agent orchestration.

    Pricing

    Free and open-source resource collection.