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    Aegis Github Integration Test

    Test repository for Aegis Framework integration with GitHub features and MCP server

    0 stars
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    Updated Mar 7, 2025

    Table of Contents

    • Overview
    • Structure
    • Getting Started
    • Testing MCP Integration
    • Contributing
    • License

    Table of Contents

    • Overview
    • Structure
    • Getting Started
    • Testing MCP Integration
    • Contributing
    • License

    Documentation

    Aegis GitHub Integration Test

    This repository is a test environment for exploring the integration of the Aegis Framework with GitHub features using the Model Context Protocol (MCP) server.

    Overview

    The goal of this project is to evaluate how GitHub's features can enhance the Aegis Framework while maintaining its text-based simplicity. We're specifically exploring:

    • GitHub Issues for task/decision/session tracking
    • GitHub Projects for workflow management
    • GitHub MCP server for automation
    • Integration with AI assistants (Cursor, Windsurf)

    Structure

    • .context/ - Aegis Framework directory
    • .github/ - GitHub-specific configurations
    • ISSUE_TEMPLATE/ - Templates for tasks, decisions, and sessions
    • workflows/ - GitHub Actions configurations

    Getting Started

    1. Clone this repository

    2. Set up your AI assistant with MCP capabilities

    3. Explore the .context directory for Aegis framework files

    4. Check GitHub Issues for active tasks and decisions

    Testing MCP Integration

    This repository serves as a testbed for MCP server integration. Key areas:

    1. Task Management

    • Creating tasks via AI assistants
    • Transitioning task states
    • Updating task content

    2. Decision Recording

    • Creating decision records
    • Linking decisions to tasks
    • Tracking decision history

    3. Session Management

    • Recording development sessions
    • Tracking progress
    • Documenting decisions

    Contributing

    This is a test repository for evaluation purposes. While we welcome observations and feedback, please note that this is not intended for production use.

    License

    MIT

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