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AI 'vibe coding' platform (formerly DhiWise, now Rocket.new) that turns a text prompt into full-stack web and mobile apps.
End-to-end computer vision platform for teams annotating data, training YOLO models, and deploying them at scale.
Open-source node-based engine for visual AI, giving pros granular control to build image, video, and 3D generation workflows.
Developer API that gives AI agents persistent memory, retrieval, and connectors, usable both as infrastructure and a personal app.
AI coding platform and IDE that orchestrates multiple agent sessions and lets teams plug in their own AI subscriptions.
No public pricing
- ✦Prompt-to-app full-stack generation
- ✦Auto-generated backend, database and auth
- ✦Choice of frameworks; you own the code
- ✦One-click deploy (Netlify, GitHub sync, custom domain)
- ✦Templates to reduce token use
- ✦Mobile app generation
- ✦Smart data annotation with SAM-powered one-click masks across six task types
- ✦Cloud training with 22+ GPU configurations from RTX 2000 Ada to B200
- ✦Support for YOLOv5 through YOLO26 model families
- ✦One-click deployment across 43 global regions with auto-scaling
- ✦Export to 18 formats including ONNX, TensorRT, and CoreML
- ✦Live training metrics and experiment comparison dashboard
- ✦Node-based workflow canvas
- ✦Simplified App Mode view
- ✦Community workflow templates and hub
- ✦Comfy Desktop (local) and Comfy Cloud
- ✦Comfy API for production endpoints
- ✦60,000+ nodes and many models
- ✦Persistent, structured memory built as a knowledge graph
- ✦Sub-300ms hybrid retrieval (RAG) with reranking
- ✦Native filesystem mount for agent memory access
- ✦Connectors to Slack, Notion, Drive, Gmail, GitHub, S3
- ✦Automatic extraction from PDFs, images, and audio
- ✦User profile and behavior tracking across sessions
- ✦AI coding IDE with agent orchestration
- ✦Run and manage multiple agent sessions
- ✦Task, artifact and collaboration tools
- ✦Bring-your-own AI subscription or API keys
- ✦Cloud-scale agent execution
- →Building full-stack apps from a prompt
- →Prototyping and launching MVPs quickly
- →Generating landing pages and websites
- →Creating mobile apps without coding
- →Building and training custom object detection or segmentation models
- →Labeling large image/video datasets for computer vision projects
- →Deploying vision models to edge or mobile devices
- →Running quality control or defect detection in manufacturing
- →Powering retail, logistics, or agriculture vision applications
- →Building custom image/video/3D pipelines
- →VFX, advertising, gaming, and ecommerce content
- →Running workflows on cloud GPUs
- →Deploying workflows as production APIs
- →Developers adding long-term memory to AI agents
- →Teams building agents that need to sync with existing tools
- →Individuals wanting one memory layer shared across multiple AI assistants
- →Shipping code faster with AI agents
- →Coordinating agent work across a team
- →Managing tasks and artifacts in one place
- →Running many parallel agent sessions