How to Configure Egonex AI Auto-Update on Every Commit Using Post-Commit Hooks

Enable the understand --auto-update flag once per repository, then create an executable .git/hooks/post-commit script that invokes this command to keep your knowledge graph synchronized with every commit.

The Egonex-AI/Understand-Anything plugin maintains a living knowledge graph of your codebase that can grow stale as you iterate. By configuring Egonex AI auto-update on every commit using post-commit hooks, you ensure the graph receives incremental updates immediately after each Git commit, leveraging deterministic fingerprint checks to avoid unnecessary LLM token costs for cosmetic changes.

Prerequisites and Installation

Before setting up the hook, initialize the auto-update configuration in your repository root.

Enable the Auto-Update Flag

Run the following command once to write the configuration files under .understand-anything/:

understand --auto-update

This creates the necessary metadata structure and notifies the plugin to check for updates after each commit, as documented in the repository's README.md.

Setting Up the Git Post-Commit Hook

The hook triggers the incremental update workflow defined in understand-anything-plugin/hooks/auto-update-prompt.md immediately after Git records a commit.

Creating the Hook Script

Create a file at .git/hooks/post-commit with the following content:

#!/usr/bin/env sh

# Post-commit hook: trigger Egonex AI incremental graph update

cd "$(git rev-parse --show-toplevel)" || exit 1

understand --auto-update

This script ensures the command runs from the repository root, where the plugin expects to find .understand-anything/meta.json and the knowledge graph.

Making the Hook Executable

Git ignores hooks without execute permissions. Run:

chmod +x .git/hooks/post-commit

How the Auto-Update Pipeline Works

When the hook executes, it invokes a zero-token-cost pre-flight sequence before deciding whether to engage LLM agents.

Commit Detection and Change Collection

The workflow first compares the current HEAD commit hash against the value stored in .understand-anything/meta.json. If they match, the process exits early. Otherwise, it collects changed files using:

git diff <lastHash>..HEAD --name-only

It then filters this list against patterns defined in .understandignore, excluding non-source files and build artifacts.

Fingerprint-Based Change Classification

The fingerprint-check.mjs script computes SHA-256 hashes of the affected files and compares them against entries in .understand-anything/fingerprints.json. This deterministic check classifies changes as cosmetic or structural without consuming LLM tokens. Cosmetic updates—such as comment changes or whitespace—result only in an updated hash entry in meta.json.

Incremental Graph Analysis and Merging

For structural changes, the hook launches the file-analyzer agent (and optionally the architecture-analyzer agent) defined in understand-anything-plugin/agents/file-analyzer.md. These agents process only the modified files, then merge the new nodes and edges into the existing .understand-anything/knowledge-graph.json while preserving all untouched graph data.

Customizing Ignore Patterns

Create a .understandignore file in your repository root to exclude directories like node_modules or dist from the diff collection. The ignore-filter.mjs script applies these rules during the change collection phase, ensuring the auto-update processes only relevant source files.

Summary

• Enable the feature by running understand --auto-update once per repository to initialize the configuration.
• Install the hook by creating an executable .git/hooks/post-commit script that invokes the auto-update command.
• Leverage fingerprints stored in .understand-anything/fingerprints.json to avoid LLM costs for cosmetic changes.
• Process only structural changes using the file-analyzer agent, merging updates into the existing knowledge graph.
• Filter noise via .understandignore to prevent build artifacts from triggering unnecessary analysis.

Frequently Asked Questions

What triggers an actual LLM analysis versus a zero-token update?

The fingerprint check in fingerprint-check.mjs computes SHA-256 hashes of changed files and compares them to .understand-anything/fingerprints.json. If the structural signature matches the previous state, the hook updates .understand-anything/meta.json with the new commit hash and exits without invoking LLM agents. Only structural changes—such as modified AST signatures—trigger the file-analyzer agent.

Where does the auto-update logic store its state between commits?

The plugin maintains state in two JSON files under .understand-anything/: meta.json stores the last analyzed commit hash, while fingerprints.json maps file paths to their structural SHA-256 signatures. These files allow the hook to determine exactly which changes occurred since the last update.

Can I use auto-update in CI/CD pipelines or just locally?

While designed for local development workflows using Git hooks, the understand --auto-update command is environment-agnostic. You can invoke it in CI pipelines after checkout to ensure the knowledge graph reflects the exact commit being built, though you must manually manage the .understand-anything/ directory persistence between CI runs.

How do I disable auto-update if it slows down my commits?

Remove the .git/hooks/post-commit file or rename it to post-commit.disabled. Additionally, delete the .understand-anything/ directory if you wish to remove all cached fingerprints and metadata. The plugin will no longer attempt automatic updates until you re-run understand --auto-update and reinstall the hook.

{
  "mcpServers": {
    "instagit": {
      "command": "npx",
      "args": ["-y", "instagit@latest"]
    }
  }
}