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Eric Tech — Understand-Anything vs Graphify: I Tested Both on My SaaS

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tagsyoutube, ai, eric-tech

5 min read

Eric Tech — Understand-Anything vs Graphify: I Tested Both on My SaaS

Source: YouTube Channel: Eric Tech (62300 subs) Duration: 16:20 Views: 39426 · Likes: 846 Video: Watch on YouTube

I tested Understand-Anything vs Graphify on my real production SaaS bookzero.ai — token cost, dashboard quality, AI usage, onboarding, auto-update, and local LLM support. Here’s which one actually wins for each.

Key takeaways:

  • Graphify uses roughly half the tokens of Understand-Anything for the same codebase scan
  • Understand-Anything’s dashboard shows parent/child node relationships — Graphify only shows neighbors
  • Only Graphify supports local LLMs via Ollama or AWS Bedrock — Understand Anything routes through whatever provider your IDE is wired to

📩 If this video hits 1,000 likes, I’ll do a LIVE walkthrough using Understand-Anything + Graphify + my superpower skills to actually ship a real feature (or do a real refactor) on bookzero. Drop a comment if you want it — I’ll pin the top ones.

🔗 Join our Skool community for the full cheat sheet, shortcuts, and 100+ Claude Code templates: skool.com/erictech

🔗 Check out bookzero.ai — AI-powered bookkeeping built entirely with Claude Code

📌 Mentioned:

Timestamps: 0:00 Intro 1:38 Install Graphify 2:08 Install Understand-Anything 2:52 Token Cost Test 3:02 Token: Understand-Anything 5:47 Token: Graphify 6:42 Dashboard Visualization 10:22 AI Query + Research 12:42 Onboarding 13:34 Auto Update 14:13 Local LLM 14:53 Outro

Key Insights

If you’re using AI here to do research on your code base, then you definitely need to check out this repository called Understand Anything. Essentially, this repository here can turn any code base into a interactive knowledge base that you can actually explore and ask questions and also help you to save AI tokens when doing research similar to Graphy AI, which I actually made a video on on this channel. And in this video, I’m going to not only show you exactly how to set up your Understand Anything, but I’m also going to show you the difference between the Understand Anything and Graphy AI. For example, how much token does it consume? What does the knowledge graph look like for Graphy AI and what does the knowledge base look like for the Understand Anything? And then we’re also going to take a look at a live demo on how we can be able to use this to do AI queries, to do research, how much token it saves, and what is the response it gets. So, that’s why in this video, I’m going to show you exactly how to set up both Graphy AI and Understand Anything onto your local projects and how we can be able to use it and what is the difference between the two. So, with that being said, if you’re interested, let’s get into the video. Now, before we continue, I recently launched our school community where I help you to master AI agents, automations, and so much more. And that’s all coming from someone who used to work as a senior AI software engineer at companies like Amazon and Microsoft. And in this community, you’re going to get over 100+ video materials like templates and workflows that I personally built and sold over 100+ times. On top of that, you’re also going to get access to our weekly live calls. And just give you an idea, this week we’re actually running a Claude code masterclass where we’re going to dive into how to improve Claude code’s accuracy when we’re going to use it to build the applications. Plus, you’re also going to get full community support where you’re going to get a chance to ask questions and get direct answers back. So, if you’re ready to level up, make sure you jump right in and I’ll see you in a community. All right, so to get started, here you can see we have Graphy AI on the left and Understand Anything on the right. So, to install the Graphy AI first, let’s take a look at this, right? So, the documentation here, you can see this is the prerequisites, making sure that we have Python and UV. So, UV is kind of like NPM before Python. And all we have to do here is going to install the Graphy AI through the UV tool. So here you can see I have installed the Graphi using UV and also installing the Graphi skills onto my Cloud MD and also the skill as well. But simply if you want to do the same like install the understand anything onto repository is also very simple. So scrolling down here you can see it has a quick start. So it tells you install the plugins through the marketplace in Cloud Code. So in this case I’m going to copy this command right here. So simply I’m just going to clear this and start a new Cloud Code session. So here I’m going to add this plugins into our marketplace first. So now you can see it’s going to clone the repository and it’s going to add this into our marketplace. And then what we’re going to do here is to install the plugins through the marketplace after we added it. So in this case I’m going to run this and then in terms of the plugin details on where we want to install this I’m going to choose the second option to install on this project level. All right, so now once we have both the Graphi and the understand anything installed next thing I’m going to do here is try to basically do test and see how much token and time it really took to basically converting the entire code base into a knowledge graph. So in this case this time I’m going to start from understand anything and try to see how it works. So simply all we have to do here is I’m going to come to a terminal and just going to d

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