Discover and explore top open-source AI tools and projects—updated daily.
Lolner95Benchmark-validated context for AI coding agents
New!
Top 98.0% on SourcePulse
Summary
AIGX provides an open, benchmark-validated context format for AI coding agents, enabling them to understand codebase conventions and behavior. It centralizes rules and per-file indexing in a .aigx/ directory, allowing agents to act like senior engineers without modifying source code.
How It Works
AIGX defines a codebase's AI-agent rules, boundaries, and pitfalls within a .aigx/ directory, forming a "genome." A files.aigx index maps specific files to relevant constraints (forbidden imports, gotchas). This per-file addressability ensures agents retrieve precise binding information at the edit site, improving accuracy. The format is tool-agnostic and avoids source code injection, a design validated as superior in controlled benchmarks.
Quick Start & Requirements
npm create aigx or npx create-aigx. Reference implementations are available via npm (@aigx/cli), PyPI (aigx), and crates.io (aigx). Zero-install CLI commands like npx @aigx/cli lint are supported.Highlighted Details
files.aigx) provides targeted rule lookups per file, a key advantage over global or in-source methods..aigx/, ensuring source code remains untouched.Maintenance & Community
The project maintains spec v1.1 and publishes reference implementations across npm, PyPI, and crates.io. Users are encouraged to engage via GitHub issues and starring the repository.
Licensing & Compatibility
Tools are MIT-licensed, and the specification text is CC-BY-4.0. This permissive licensing allows for free adoption, reimplementation, and commercial use.
Limitations & Caveats
While AIGX excels in consistency and robustness, top formats can be a "statistical tie" in some metrics. AIGX serves as a "genome layer" that can be exported to simpler formats. Further details are in docs/limitations.md.
3 weeks ago
Inactive
yetone
plandex-ai
oraios