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AEGIS-GITHUB综合测试
测试与GitHub功能和MCP服务器集成的AEGIS框架的存储库
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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
- Clone this repository
- Set up your AI assistant with MCP capabilities
- Explore the
.context
directory for Aegis framework files - Check GitHub Issues for active tasks and decisions
Testing MCP Integration
This repository serves as a testbed for MCP server integration. Key areas:
-
Task Management
- Creating tasks via AI assistants
- Transitioning task states
- Updating task content
-
Decision Recording
- Creating decision records
- Linking decisions to tasks
- Tracking decision history
-
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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Reviews

user_EvdtGdac
I recently tried the aegis-github-integration-test by FixingPixels, and I have to say, it's a game-changer for my development workflow. This tool seamlessly integrates GitHub with various testing functionalities, ensuring robust and reliable code management. It's evident that the developers put a lot of thought into creating this integration that saves time and reduces errors. For anyone serious about GitHub and testing, this product is a must-try. Highly recommend checking it out on GitHub.