Skip to content
Tech News
← Back to articles

Lat.md: Agent Lattice: a knowledge graph for your codebase, written in Markdown

read original get Markdown Knowledge Graph Tool → more articles
Why This Matters

Lat.md introduces a scalable, structured knowledge graph system for managing complex codebases using interconnected Markdown files. This approach enhances maintainability, cross-referencing, and validation, making it easier for both humans and machines to understand and navigate large projects. It addresses the limitations of traditional flat documentation, supporting growth and ensuring consistency across evolving codebases.

Key Takeaways

A knowledge graph for your codebase, written in markdown.

The problem

AGENTS.md doesn't scale. A single flat file can describe a small project, but as a codebase grows, maintaining one monolithic document becomes impractical. Key design decisions get buried, business logic goes undocumented, and agents hallucinate context they should be able to look up.

The idea

Compress the knowledge about your program domain into a graph — a set of interconnected markdown files that live in a lat.md/ directory at the root of your project. Sections link to each other with [[wiki links]] , source files link back with // @lat: comments, and lat check ensures nothing drifts out of sync.

The result is a structured knowledge base that:

📈 Scales — split knowledge across as many files and sections as you need

— split knowledge across as many files and sections as you need 🔗 Cross-references — wiki links ( [[cli#search#Indexing]] ) connect concepts into a navigable graph

— wiki links ( ) connect concepts into a navigable graph ✅ Stays in sync — lat check validates that all links resolve and that required code references exist

— validates that all links resolve and that required code references exist 🔍 Is searchable — exact, fuzzy, and semantic (vector) search across all sections

... continue reading