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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.

Macaron AI logo
Macaron AI
✓ verifiedFreemium

Personal AI agent that builds custom mini-apps and tools on request and remembers your preferences to help with daily life.

184K visits/mo
933K visits/mo
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
Tavily logo
Tavily
✓ verifiedFreemium

Real-time web search and content-extraction API that grounds AI agents with fresh, structured data for research and RAG.

1.3M visits/mo8.9K saves
Pricing

No public pricing

Essential: $24.99 / mo
Premium: $39.99 / mo
Ultimate: $59.99 / mo
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)
Pay As You Go: $0.008/credit
Core features
  • Personal AI agent for daily life
  • Deep Memory that remembers user preferences
  • Builds custom tools and mini-apps on request
  • Personality test for personalization
  • Mobile app
  • Content and template library
  • AI-powered trading indicators
  • Screeners for identifying high-probability setups
  • Backtesters for strategy optimization
  • AI Backtesting Assistant for automated strategy building
  • Community support and educational resources
  • 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
  • Real-time web search API
  • Page content extraction and crawling
  • LLM-optimized structured/chunked output
  • Built-in PII and prompt-injection filtering
  • High-throughput, low-latency infrastructure
  • Drop-in integrations with major LLM providers
Use cases
  • Getting personalized help with daily tasks
  • Generating small custom tools on demand
  • Building an AI that remembers your context
  • Creative writing and story generation
  • Automating complicated price action analysis
  • Generating trading signals and detecting reversals
  • Scanning assets for specific trading criteria
  • Backtesting and optimizing trading strategies
  • Building trading strategies with AI assistance
  • 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
  • Grounding AI agents with live web data to reduce hallucination
  • Building research or retrieval-augmented generation (RAG) applications
  • Powering AI-driven search assistants
  • Enterprise-scale agents needing reliable web access
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