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Heuristica
✓ verifiedFreemium
An AI-powered learning platform that turns sources into concept maps, flashcards, quizzes and summaries with multi-model chat.
89K visits/mo12K saves
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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
Pricing
No public pricing
Basic: Free (up to 3 saved concept maps)
Professional: $7.99/mo (unlimited maps, multi-model AI, all features)
No public 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)
Core features
- ✦Markdown to Notion publishing
- ✦Automatic subpage creation from directory structure
- ✦CLI flag support for title and emoji
- ✦Integration with Notion's AI, search, and formatting
- ✦Concept map builder
- ✦Flashcards with spaced repetition
- ✦AI quiz and summary generation
- ✦Import from PDFs, YouTube, websites, PubMed and arXiv
- ✦Multi-model AI chat (GPT, Claude, Gemini, Qwen)
- ✦Cross-format conversion and sharing
- ✦On-device AI processing
- ✦Simple search functionality
- ✦Offline support
- ✦Data reset option
- ✦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
Use cases
- →Publishing documentation to a Notion workspace
- →Creating a public website from markdown documentation
- →Maintaining documentation alongside code in a repository
- →Visualizing and studying complex topics
- →Turning research sources into study materials
- →Literature review and dissertation prep
- →Memorizing details from machine learning papers
- →Finding important findings from computer vision research
- →Keeping track of natural language processing paper reviews
- →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
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