Open Source

AMINA CORE

Private Intelligence. Local First.

VRAM-Scalable 100% Local No Cloud Multi-Modal Python 3.13 FastAPI
๐Ÿ“Š

Local LLM Leaderboard

A comprehensive leaderboard evaluating open-weight models tested locally under 30GB of VRAM. Tracking performance across general knowledge, tool use, and agentic coding metrics.

View Leaderboard โ†’

Capabilities

Everything runs on your hardware. Nothing leaves your machine.

🎙️

Voice Intelligence

Wake-word detection, Silero VAD, and faster-Whisper for speech-to-text. Zero-shot voice cloning via OmniVoice TTS โ€” speaks in a natural voice with sub-200ms latency.

STT + TTS
👁️

Vision Mode

Continuous screenshot and camera analysis using local vision models (Gemma 4, Qwen3-VL). Proactive commentary and context-aware responses based on what's on screen.

Multi-modal

Autonomous Scheduling

Amina schedules her own wake-ups and sends reminders via Telegram. Full task management with /tasks, /snooze, /reschedule, /done, and /history โ€” no server required.

Telegram
🎨

Creative Studio

Generates stories chapter-by-chapter with matching images. Produces music via ComfyUI, renders video with LTX, and composes multi-track playlists with DJ intros.

Image ยท Video ยท Music ยท Story
🧠

Deep Memory

Tri-store memory system: short-term ring buffer, episodic journal with semantic search (sentence-transformers), and a structured profile of long-term facts per user.

Episodic + Semantic
🔐

Privacy First

All inference runs locally via llama.cpp. User data is isolated per account with optional 7-Zip AES-256 encryption at rest. No API keys, no telemetry, no cloud.

Local ยท Encrypted
🤖

Multi-User Support

Separate memory, personality, and media per user. GPU resource ownership with conflict resolution โ€” competing requests queue intelligently without crashing services.

Session-Isolated
🖥️

Workspace Agent

A pi.dev terminal bridge with an agentic coding assistant. Plan, execute, and iterate on tasks in a sandboxed environment โ€” with optional desktop control mode.

Agentic

See It In Action

Audio, images, and video in this demo โ€” all generated by Amina.

Amina made it. Local inference, no APIs, no cloud.

100% Open Source

All code is publicly available. Self-host Amina on any machine โ€” capabilities scale with the VRAM you throw at it.

★  View on GitHub    📄  Setup Guide

Tech Stack

Built on open-source inference โ€” no proprietary cloud services.

llama-cpp-python faster-whisper OmniVoice TTS sentence-transformers FastAPI + Uvicorn ComfyUI yt-dlp + ffmpeg python-telegram-bot asyncio PyTorch nightly cu130

Architecture

Inference
llama.cpp (CUDA)
VRAM
More VRAM = bigger models
Context
16k โ€“ 256k tokens
STT
Whisper + Silero VAD
TTS Latency
<200ms first byte
Platform
Windows ยท Linux ยท Docker
🔒

Restricted Access

This system is closed to the public. Account creation is disabled โ€” only authorized administrators may proceed.

Administrator Login
System online