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.
A startup from the United States that is founded by Anthony Reffelt.
This page is designed to help you find out whether Amni-AI is good and if it is the right choice for you.
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 amnibro7@gmail.com.
Listed in
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.
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.
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.
People who want a local assistant on about 4 GB VRAM that remembers corrections and speaks Ollama and OpenAI APIs.
Cloud chats forget corrections and leave the machine. I built Adam so verified lessons stay in a closed loop and the bake runs locally.
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.
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