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Prompt Engineering · Awesome GitHub Repositories

12 repos

Awesome GitHub RepositoriesPrompt Engineering

Methodologies, workflows, and tools for designing, testing, and refining inputs to optimize interactions with large language models.

Explore 12 awesome GitHub repositories matching artificial intelligence & ml · Prompt Engineering. Refine with filters or upvote what's useful.

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Awesome Prompt Engineering GitHub Repositories

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  • f/prompts.chat

    f/prompts.chat

    145,637GitHubView on GitHub↗

    Prompts.chat is a community-driven repository and management platform for AI prompts and agent skills. It provides a centralized interface for users to search, retrieve, and save prompts, while offering structured storage for multi-file agent skills that include documentation and supporting assets. The platform distin

    HTMLaiartificial-intelligenceawesome-list
  • langchain-ai/langchain

    langchain-ai/langchain

    127,015GitHubView on GitHub↗

    LangChain is an orchestration framework designed for building, managing, and deploying applications powered by large language models. It provides a unified integration layer that normalizes disparate model provider APIs into a consistent set of primitives, enabling developers to build complex, multi-step AI workflows t

    Pythonagentsaiai-agents
  • x1xhlol/system-prompts-and-models-of-ai-tools

    x1xhlol/system-prompts-and-models-of-ai-tools

    115,232GitHubView on GitHub↗

    This project is a community-driven knowledgebase and registry for AI agent configurations. It serves as a centralized repository for system prompts, environment settings, and integration strategies designed to standardize the behavior of various AI-assisted development tools. By capturing these configurations in a stru

    aiboltcluely
  • microsoft/generative-ai-for-beginners

    microsoft/generative-ai-for-beginners

    106,618GitHubView on GitHub↗

    This project is a comprehensive, open-source educational curriculum designed to guide developers through the mastery of generative artificial intelligence. It provides a structured learning path that covers foundational concepts, prompt engineering, and the practical application of large language models. The repository

    Jupyter Notebookaiazurechatgpt
  • google-gemini/gemini-cli

    google-gemini/gemini-cli

    94,954GitHubView on GitHub↗

    This project provides a command-line interface for managing autonomous agent workflows, task orchestration, and system-level automation. It includes a comprehensive framework for defining agent skills, managing persistent memory, and delegating tasks to specialized subagents. Users can configure complex planning modes,

    TypeScriptaiai-agentscli
  • ChatGPTNextWeb/NextChat

    ChatGPTNextWeb/NextChat

    87,317GitHubView on GitHub↗

    NextChat is a self-hosted web application that provides a unified interface for interacting with multiple large language models. It functions as a conversational platform where users can manage and switch between diverse AI providers through configurable API backends, maintaining full control over their data and infras

    TypeScriptcalclaudechatgptclaude
  • modelcontextprotocol/servers

    modelcontextprotocol/servers

    79,000GitHubView on GitHub↗

    The Model Context Protocol is a standardized communication framework designed to connect language models to external data sources, functional tools, and interactive user interfaces. It provides a vendor-neutral interface layer that enables AI hosts to discover and execute capabilities across heterogeneous service envir

    TypeScript
  • lobehub/lobehub

    lobehub/lobehub

    72,403GitHubView on GitHub↗

    LobeHub is a comprehensive multi-agent orchestration platform designed for building, configuring, and deploying specialized AI agents. It provides a unified chat-based gateway that allows users to manage autonomous agent teams across web, desktop, and mobile environments. By utilizing a framework that supports persiste

    TypeScriptagentagent-collaborationagent-harness
  • dair-ai/Prompt-Engineering-Guide

    dair-ai/Prompt-Engineering-Guide

    70,526GitHubView on GitHub↗

    This project is a comprehensive educational resource and knowledge base dedicated to the development and application of large language models and autonomous agentic systems. It provides a structured framework for understanding prompt engineering, context management, and the architectural patterns required to build task

    MDXagentagentsai-agents
  • PlexPt/awesome-chatgpt-prompts-zh

    PlexPt/awesome-chatgpt-prompts-zh

    58,347GitHubView on GitHub↗

    This project is a community-driven library of structured text inputs designed to guide large language models into specific roles, behaviors, and operational modes. It functions as a comprehensive repository of prompt engineering resources, providing reusable templates that allow users to override default model tendenci

    chat-gptchatgptchatgpt3
  • zylon-ai/private-gpt

    zylon-ai/private-gpt

    57,116GitHubView on GitHub↗

    This project is a privacy-first backend service designed to facilitate retrieval-augmented generation by processing local documents into searchable vector representations. It provides a modular architecture that allows users to ingest diverse file formats, manage document metadata, and perform semantic searches to prov

    Python
  • AntonOsika/gpt-engineer

    AntonOsika/gpt-engineer

    55,201GitHubView on GitHub↗

    GPT-Engineer is an autonomous agent and framework designed for AI-assisted software development. It functions as a generative codebase architect that translates natural language requirements into complete, functional software projects by reading and writing files directly to the local file system. The platform disting

    Pythonaiautonomous-agentcode-generation

Explore sub-tags

  • Advanced Prompting TechniquesSophisticated strategies for prompt design and optimization.
  • Cross-Tool Prompt StrategiesStandardized prompt patterns designed to be portable across multiple AI coding environments.
  • Educational and Foundational Resources3 sub-tagsTheoretical guides, best practices, and curated examples for learning prompt engineering, distinct from technical implementation tools.
  • Jailbreak PromptsInstructional sets intended to bypass safety filters or operational constraints of artificial intelligence models.
  • Optimization and Evaluation Methodologies3 sub-tagsQuantitative and iterative processes for refining and measuring prompt efficacy, distinct from the creation of the prompts themselves.
  • Prompt FunctionsEncapsulated prompt patterns that act as reusable functional units for LLM interactions.
  • Prompt Management WorkflowsSystems for developing, storing, and applying structured instruction templates to standardize and refine interactions with artificial intelligence models.
  • Prompt Optimization ToolsUtilities and frameworks for refining and testing model prompts for performance.
  • Prompt RetrievalEndpoints for fetching prompt content and metadata by identifier.
  • Reasoning Model PromptingSpecific strategies for interacting with models designed for complex multi-step reasoning tasks.
  • Structural and Formatting Frameworks3 sub-tagsMethods for defining input syntax, output schemas, and reusable templates, focusing on the mechanical layout of interactions.
  • System Prompt OverridesMechanisms for defining persistent system-level instructions.
  • System and Configuration Layers3 sub-tagsArchitectural instructions and pre-input configurations that define agent behavior, distinct from user-facing task prompts.
  • Task-Specific Patterns5 sub-tagsPrompt structures tailored for distinct functional domains like coding, math, or creative generation, differing from general-purpose prompting.