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Supermemory VS Hitomi

Compare Supermemory VS Hitomi and see what are their differences

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Supermemory

ai second brain for all your saved stuff

No screenshot yet
Rating
0 reviews
Alternatives Is it good?
Hitomi

From acquisition to inspiration: An all-around platform for streamlined data processing - Verticalysis/Hitomi

No screenshot yet
Rating
0 reviews
Alternatives Is it good?
HTMLCSS to Image API
Capture website screenshots, render HTML/CSS, or create templated graphics. Render images or PDFs. Use MCP with AI, no-code automation, or the REST API. No browsers needed. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Supermemory seems to be more popular. It has been mentioned 4 times since March 2021.

social mentions
4 vs 0
AI popularity
100% vs 0%
alternatives listed
201 vs 16

Base details

Website, pricing, platforms and company facts side by side.

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Supermemory
Hitomi
Website supermemory.ai github.com
Listed in
AI Productivity Developer Tools AI Tools +1
Monitoring Tools Log Management Office Suites Realtime Analytics +1

Features and specs

What each product offers, as listed by its team.

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Supermemory 0 features
Hitomi 5 features

No features have been listed yet.

  • Lightweight HTML Parser
    Hitomi is a lightweight and simple HTML parser for Swift, making it easy to integrate into iOS/macOS projects without heavy dependencies.
  • Swift-native
    Being written in Swift, it integrates naturally with Apple ecosystem projects and follows Swift conventions, making it familiar for iOS and macOS developers.
  • CSS Selector Support
    Hitomi supports CSS selector-based querying of HTML documents, allowing developers to extract elements from HTML using familiar CSS selector syntax.
  • Easy to Use API
    The library provides a straightforward and clean API for parsing and querying HTML content, reducing boilerplate code needed for common HTML parsing tasks.
  • Open Source
    As an open-source project on GitHub, developers can inspect the source code, contribute improvements, and adapt it to their specific needs.

Possible disadvantages

  • Limited Community and Adoption
    Hitomi appears to be a relatively niche project with limited community adoption, which means fewer community resources, tutorials, and third-party support compared to more popular alternatives like SwiftSoup.
  • Limited Documentation
    The project may lack comprehensive documentation or examples, making it harder for new users to get started and understand all available features.
  • Uncertain Maintenance Status
    The repository may not be actively maintained, which could lead to compatibility issues with newer versions of Swift or Apple platforms over time.
  • Feature Limitations Compared to Alternatives
    Compared to more mature HTML parsing libraries like SwiftSoup or Kanna, Hitomi may lack advanced features such as full XPath support, HTML manipulation/editing, or comprehensive error handling.
  • Limited Platform Support
    The library may have limited cross-platform support beyond Apple platforms, which could be a drawback for developers working on server-side Swift or cross-platform projects.

Analysis

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

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Supermemory
Hitomi

Overall verdict

  • Supermemory is a solid tool for building a personal or organizational knowledge base, offering an effective way to save, organize, and retrieve information from across the web using AI-powered search and recall.

Why this product is good

  • AI-powered semantic search lets you retrieve saved content by meaning rather than exact keywords
  • Easily capture bookmarks, articles, tweets, notes, and other web content into a unified knowledge hub
  • Acts as a 'second brain' that helps you connect and rediscover previously saved information
  • Offers integrations and a browser extension for frictionless capture of content
  • Useful for chatting with your own saved knowledge base via an AI interface

Recommended for

  • Researchers and students who collect and reference large amounts of information
  • Content creators and writers who need to organize inspiration and source material
  • Knowledge workers wanting a personal 'second brain' for productivity
  • Developers building AI apps that need a memory or knowledge layer
  • Anyone who bookmarks heavily and struggles to find saved content later

Overall verdict

  • Hitomi-related repositories on GitHub are typically community-built tools (such as downloaders or API wrappers) associated with the hitomi.la content aggregator, rather than a single official, actively-maintained product. Quality, safety, and legality can vary significantly by repository and maintainer, so it should be evaluated on a case-by-case basis before use.

Why this product is good

  • Open-source and free, allowing users to inspect the code before running it
  • Often actively updated by community contributors to adapt to site changes
  • Can provide convenient bulk-download or automation features not available through the official website
  • Lightweight and script-based, making it easy to modify for personal needs

Recommended for

  • Developers comfortable auditing open-source code before running it
  • Users specifically needing automation or bulk-download functionality for compatible sites
  • People who understand and accept the legal and content-related risks associated with such tools
  • Not recommended for casual users seeking an official, supported, or general-purpose application

Videos

Walkthroughs and reviews on video.

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Supermemory 0 videos + Add
Hitomi 3 videos + Add

No Supermemory videos yet. You could help us improve this page by suggesting one.

Dietitian Reviews Hitomi Mochizuki’s “CLEANSE DIET” (Do You Need a Gut Reset?!)

More videos

  • - HITOMI #1 REVIEW. Snarky protagonists are not fun.
  • - Evil's Comics Reviews Hitomi #1

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
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Supermemory
Hitomi
100% 100%
AI
0% 0%
0% 0%
Monitoring Tools
100% 100%
100% 100%
Developer Tools
0% 0%
0% 0%
Office Suites
100% 100%

User comments

Share your experience with using Supermemory and Hitomi. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

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Supermemory 4 mentions
Hitomi 0 mentions
  • AI Agentic Memory for beginners.
    This is usually a challenge that any developer has to take care of when building an AI agent. In fact, managing the context is one of the hardest problems when working with AI agents and there are many companies like SuperMemory, Mem0... - Source: dev.to / about 2 months ago
  • Building an autonomous Slack agent with OpenCode
    Memory. I use Supermemory for this. Before, Pipa loaded context files and knew to update them. A memory tool adds teammate-like recall: goals, preferences, latest business state, and small details that should carry across runs. Good... - Source: dev.to / 3 months ago
  • Build a Real-Time Voice RAG Agent for Your Documentation
    We wire everything up with Vision Agents as the voice agent framework, Stream for WebRTC audio and video, OpenAI Realtime for speech in and speech out, Anam so the agent shows up as a face on the video, and Supermemory so answers come... - Source: dev.to / 4 months ago

View more

Tracking Hitomi since Jun 2026.

Alternatives to Supermemory and Hitomi

When comparing Supermemory and Hitomi, you can also consider the following products.

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