AI & Machine Learning Spotlightv4.0.2
CogniFlow AI Studio
Private On-Device Neural Model Runner & Workflow Automator
Published by Cognitive Systems• AI Partner
Rating
5.0
Downloads
98,100
Archive Size
315.4 MB
Supported Operating Systems
windowsmacoslinux
Direct release package • Scanned and verified safe archive
About CogniFlow AI Studio
Run open-weights LLMs, vision transformers, and speech models completely offline on your own machine. CogniFlow provides an intuitive visual node graph to chain AI models, scrape data, automate documents, and build custom multi-modal agents with 100% data privacy.
### Why CogniFlow?
- **100% Air-Gapped Privacy**: Zero data leaves your computer. No subscriptions, no cloud leaks.
- **Hardware Optimized**: Fully leverages Apple Neural Engine, NVIDIA CUDA, AMD ROCm, and Intel OpenVINO.
- **Drag-and-Drop Pipeline**: Visually assemble workflows that summarize PDFs, generate speech, and trigger webhooks.
Key Features
Support for GGUF, SafeTensors, ONNX, and PyTorch checkpoints
Visual node-based agent orchestration editor
Built-in vector database (Chroma/FAISS) for local document RAG
Fast local whisper transcription & voice cloning
Instant REST and WebSocket API generation
System Requirements
os
Windows 11, macOS 13+ (Apple Silicon), Ubuntu 22.04+
processor
Modern 8-Core CPU / Apple M-series
memory
16 GB RAM minimum (32 GB recommended for large models)
storage
4 GB application space + model storage
graphics
CUDA 12+ compatible NVIDIA GPU (8GB+ VRAM) or Apple M-series Unified Memory