Software Alternatives & Startups

Amni-AI VS Diffee

Compare Amni-AI VS Diffee and see what are their differences

Amni-AI

Adam — privacy-first local assistant (IBM Granite 4.1 3B · GF(17) atlas). Self-improving memory, code sandbox, voice/vision options, Ollama-shaped serve. Free for non-commercial use. https://amni-scient.com/amni-ai.html · GitHub: Amnibro/Amni-Ai.

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0 reviews
Pricing
Free
Diffee

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Base details

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

Amni-AI
Diffee
Website amni-scient.com diffee.me
Pricing —
Platforms
Windows Linux MacOS Desktop +1
—
Company Startup from the United States · 1 - 9 employees —
Listed in

About Amni-AI and Diffee

In their own words, as submitted to SaaSHub.

Amni-AI
Diffee

Adam is a local assistant on IBM Granite 4.1 3B with a GF(17) bake. It runs on about 4 GB VRAM. Corrections stick. It speaks Ollama and OpenAI-compatible APIs on port 7700. Free for personal, research, education, and non-profit use under CC BY-NC 4.0. Commercial use is by email to...

Read more about Amni-AI

No description of Diffee yet.

Features and specs

What each product offers, as listed by its team.

Amni-AI 3 features
Diffee 0 features
  • Privacy-Focused
    Local assistant. No telemetry.
  • Offline Mode
    IBM Granite 4.1 3B on about 4 GB VRAM, no cloud model required.
  • Privacy
    Corrections stay on the machine that runs Adam.

No features have been listed yet.

Videos

Walkthroughs and reviews on video.

Amni-AI 0 videos + Add
Diffee 3 videos + Add

No Amni-AI videos yet. You could help us improve this page by suggesting one.

Mr. Diffee Reviews The Tattooed Sales Guy

More videos

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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
Amni-AI
Diffee
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
AI
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing Amni-AI and Diffee.

What makes your product unique?

Amni-AI's answer

Adam is a local self-improving assistant on IBM Granite 4.1 3B. It stores verified lessons in a closed loop, bakes them with GF(17) texture-native weights, and speaks Ollama and OpenAI APIs on port 7700. About 4 GB VRAM. Offline, no telemetry.

Why should a person choose your product over its competitors?

Amni-AI's answer

Corrections stick. You run it on your GPU, it speaks Ollama and OpenAI APIs on :7700, and the bake is lossless GF(17). Closest peers on the listing are Ollama, LM Studio, and Jan.ai.

How would you describe the primary audience of your product?

Amni-AI's answer

People who want a local assistant on about 4 GB VRAM that remembers corrections and speaks Ollama and OpenAI APIs.

What's the story behind your product?

Amni-AI's answer

Cloud chats forget corrections and leave the machine. I built Adam so verified lessons stay in a closed loop and the bake runs locally.

Which are the primary technologies used for building your product?

Amni-AI's answer

Python, FastAPI, PyTorch with ROCm or CUDA, GF(17)/PTEX. Base model is IBM Granite (Apache 2.0). Project license is CC BY-NC 4.0.

Who are some of the biggest customers of your product?

Amni-AI's answer

  • People running local LLMs on a single GPU
  • Researchers and students
  • Anyone who needed Ollama-compatible APIs without sending prompts off-box

User comments

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