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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

supermemory™ logo
supermemory™
✓ verifiedFreemium

Developer API that gives AI agents persistent memory, retrieval, and connectors, usable both as infrastructure and a personal app.

174K visits/mo
FluidStack logo
FluidStack
✓ verifiedPaid

Infrastructure company building large-scale GPU data centers and compute for AI, including Anthropic's compute buildout.

101K visits/mo
Shaped AI logo
Shaped AI
✓ verifiedFreemium

Managed AI ranking engine powering personalized search, recommendations, and feeds via a SQL-like query language.

88K visits/mo
LlamaIndex logo
LlamaIndex
✓ verifiedFreemium

Developer framework and LlamaParse service for parsing documents and building AI agents and RAG workflows over them.

455K visits/mo1.9K saves
Glif logo
Glif
✓ verifiedFreemium

Creative agent platform that chains hundreds of AI models to make short videos, product shots and ad campaigns from prompts.

160K visits/mo34K saves
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)

No public pricing

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

No public pricing

No public pricing

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
  • Large-scale GPU and data-center infrastructure for AI
  • Power acquisition and data-center design/build
  • Fast deployment (gigawatts in ~6 months)
  • Operates both hardware and software stack
  • 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
  • LlamaParse document parsing and extraction
  • Open-source framework for AI agents and workflows
  • Document indexing for retrieval/RAG
  • Prebuilt solutions by industry and use case
  • Free starter credits for LlamaParse
  • Chat interface orchestrating many AI models
  • Prebuilt glifs for video effects and edits
  • Short-form video and ad creative generation
  • Product-shot and image editing tools
  • Credit-based usage
  • Explore library of community workflows
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
  • Training and running large AI models at scale
  • Provisioning GPU compute for AI labs
  • Building dedicated AI data-center capacity
  • Personalizing 'for you' content feeds
  • Building product recommendation systems
  • Powering RAG retrieval with behavioral ranking
  • Adding hybrid search to an e-commerce site
  • Parse complex documents for AI apps
  • Build RAG and agent workflows
  • Automate invoice and claims processing
  • Search across technical documents
  • Create short-form videos from prompts
  • Generate product and ad creative
  • Add captions and effects to videos
  • Prototype AI creative workflows
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