Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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supermemory™
✓ verifiedFreemium
Developer API that gives AI agents persistent memory, retrieval, and connectors, usable both as infrastructure and a personal app.
174K visits/mo
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Shaped AI
✓ verifiedFreemium
Managed AI ranking engine powering personalized search, recommendations, and feeds via a SQL-like query language.
88K visits/mo
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Ultralytics
✓ verifiedFreemium
End-to-end computer vision platform for teams annotating data, training YOLO models, and deploying them at scale.
1.1M visits/mo
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ComfyUI
✓ verifiedFreemium
Open-source node-based engine for visual AI, giving pros granular control to build image, video, and 3D generation workflows.
3.3M visits/mo
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Agentset
✓ verifiedFreemium
Open-source RAG infrastructure with SDKs and an API for developers to build accurate, cited AI chat and search on their own data.
24K visits/mo
Pricing
Free: $0/mo (~$5/mo of usage included)
Pro: $19/mo (~$20/mo of usage, unlimited storage, 2 teammates)
Max: $100/mo (~$130/mo of usage, 6x Pro headroom)
Scale: $399/mo (~$600/mo of usage, up to 10 teammates)
Standard: usage-based, $500/month minimum
Storage: $0.20 per GB
Enrichment tokens: $2 per million tokens
Reads: $0.45 per thousand
Writes: $0.012 per thousand
Training & encoding: $6 per hour
Free trial available
Free: $0/month (100GB storage, 100 models, 3 concurrent trainings)
Pro: $29/seat/month (500GB storage, 500 models, 10 concurrent trainings)
Standard: $20/mo (4,200 credits)
Creator: $35/mo (7,400 credits)
Pro: $100/mo (21,100 credits)
Free: $0 (1,000 pages, 10,000 retrievals)
Pro: $49/mo (10,000 pages, unlimited retrievals)
Core features
- ✦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
- ✦ShapedQL SQL-style query interface for retrieval and ranking
- ✦Hybrid semantic and keyword search
- ✦Continuous learning from user feedback signals
- ✦30+ native data connectors for warehouses and streams
- ✦Sub-50ms query latency
- ✦Python and TypeScript SDKs plus MCP support
- ✦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
- ✦Managed RAG pipeline (extraction, chunking, retrieval)
- ✦Automatic source citations
- ✦Multimodal support (images, tables, graphs)
- ✦Model-agnostic: choose vector DB, embeddings, LLM
- ✦Metadata filtering
- ✦MCP server and AI SDK integration
- ✦22+ file-format ingestion
Use cases
- →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
- →Personalizing 'for you' content feeds
- →Building product recommendation systems
- →Powering RAG retrieval with behavioral ranking
- →Adding hybrid search to an e-commerce site
- →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
- →Build a chatbot over private documents
- →Add semantic or deep search to an app
- →Ground answers in a large corpus with citations
- →Ship production RAG without building it in-house
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