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GitGalaxy Agent Directives (agents.md)

How These Are Generated (The blAST Engine)

These files aren't your standard, manually written documentation. We used data from our proprietary blAST engine—powered by a custom AST-free, NON-LLM determinstic knowledge graph generator. This is fast and light enough to be in the CI pipeline and updated every push and then re-referenced.

Currently our system is setup to give a slightly more opinionated and detailed report on the repo. So we created these by taking our LLM_reports and asking an to: Convert this to a standard agents.md engagement file. The result is a highly actionable guide that prevents downstream AI from hallucinating architecture or violating security perimeters.

Note: If there's interest, we can directly build a custom data flow specific to having an LLM dynamically create and maintain the agents.md for your organization.

Directory Index

🤖 Standard Repositories Used to Test LLMs

These are the highly requested, massively complex open-source ecosystems that researchers and engineers are really interested in having AI-agents benchmarked against. * django * flask * kubernetes * linux * Python * react * rust * tensorflow * TypeScript * vscode

⚙️ Operating Systems & Low-Level

🗣️ Languages, Compilers & Runtimes

🌐 Web Frameworks & Libraries

🧠 Data, AI & Scientific Computing

💾 COBOL, Mainframe & Enterprise

🛠️ DevOps, Infrastructure & Tooling

🎮 Game Engines & 3D Graphics

📱 Mobile, Hardware & IoT

🏢 CMS, Platforms & Applications

🔒 Security, Cryptography & Blockchain

🧩 Uncategorized / Core

🌌 Powered by the blAST Engine

This documentation is part of the GitGalaxy Ecosystem, an AST-free, LLM-free heuristic knowledge graph engine.