Awesome GitHub RepositoriesAI Workflow Patterns

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

Sequences multiple LLM operations to transform data or complete complex multi-step document analysis tasks.

MetaGPT is an agentic workflow engine and multi-agent orchestration framework designed to automate complex software engineering and data analysis tasks. It functions as an automated software factory that transforms high-level natural language requirements into functional web applications, technical documentation, and p

Decomposes complex objectives into sequential sub-tasks where the output of one agent serves as the input for the next.

Pathway is a high-performance data processing framework designed for building unified batch and streaming pipelines. It functions as an orchestrator for complex data transformations, utilizing a differential dataflow engine to process updates incrementally. By treating static datasets and continuous event streams with

Coordinates multi-step reasoning chains by linking live data streams directly to language model inputs.

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

Standardized interaction patterns facilitate complex workflows including code generation, database querying, and terminal command simulation.

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

Sequences specialized prompts to break complex software development objectives into manageable, iterative sub-tasks.