Building Enola, Part 1: Why Deterministic Architecture Analysis Matters

This is the first post in a series about the engineering decisions behind Enola, an open-source architecture analyzer for developers and AI coding agents.

Open source: / server. Point it at one or more repositories and it builds a precise graph of your code's architecture — modules, types, routes, dependencies, and how they all connect — straight from your source. It then exposes tools your AI agent can use to read, traverse, query, and reason over that structure. So before your agent writes a line of code, it already knows the shape of the thing it's editing.

1. Install

curl -fsSL https://raw.githubusercontent.com/enola-labs/enola/main/install.sh | sh

export PATH="$HOME/.local/bin:$PATH"   # if not already on PATH

2. Connect to your agent

Claude Code:

claude mcp add enola enola

Cursor (add to mcp.json):

{

  "mcpServers": {

    "enola": {