
Ollama
GPT4All
Jan.ai
ChatGPT
AnythingLLM
llama.cpp
Claude AI
Discover, download, and run local LLMs

Google Keep
MarkNote
Notable App
Notepack
Notion
Obsidian
Markdown editing, code syntax highlighting for 12+ languages, real-time sync, and Google Drive backup. The note-taking app developers have been waiting for.
Which is more popular?
Based on our record, LM Studio seems to be more popular. It has been mentioned 64 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | lmstudio.ai | codeskeep.com |
| Pricing | — | |
| Company | — | Startup from Canada · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of LM Studio yet.
CodesKeep — Google Keep for Developers CodesKeep is the note-taking app built specifically for developers who live in code. If you've ever pasted a SQL query into Google Keep and watched it turn into an unreadable wall of gray text, you already know why CodesKeep exists. Markdown & Syntax...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


No analysis of LM Studio yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
LM Studio Tutorial: Run Large Language Models (LLM) on Your Laptop
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using LM Studio and CodesKeep. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


You need LM Studio with a model loaded (I use Qwen2.5-7B-Instruct) and Python 3.10 or later. The agent is on PyPI:. - Source: dev.to / 4 days ago
Connect the AI once. Paste a free Google AI Studio key, or run Gemma locally with LM Studio. /setup.html walks through both. - Source: dev.to / 10 days ago
If you prefer a graphical app, LM Studio wraps the same idea with a model browser and a chat UI. The mechanics underneath are identical: download quantized weights, load them, run inference locally. - Source: dev.to / 16 days ago
Tracking CodesKeep since Apr 2026.
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A powerful assistant chatbot that you can run on your laptop
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The Markdown-based note-taking app that doesn't suck.
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