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Developer API that gives AI agents persistent memory, retrieval, and connectors, usable both as infrastructure and a personal app.
An AI-powered learning platform that turns sources into concept maps, flashcards, quizzes and summaries with multi-model chat.
Free tool that auto-generates conversational, browsable documentation for any public GitHub repo, from the makers of Devin.
All-in-one SEO audit and rank-tracking suite with 23 tools, white-label reports and multi-engine keyword/backlink tracking.
Developer framework and LlamaParse service for parsing documents and building AI agents and RAG workflows over them.
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No public pricing
- ✦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
- ✦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
- ✦AI-generated documentation for GitHub repos
- ✦Conversational Q&A about a codebase
- ✦Browsable index of popular repositories
- ✦Deep code indexing via Devin
- ✦Site-wide SEO audits covering 21+ technical/on-page issues
- ✦Rank tracking across Google, YouTube and Bing
- ✦Backlink checker and link-detox tools
- ✦White-label PDF report generation
- ✦Embeddable SEO audit widget for lead capture
- ✦Domain comparison tool for competitor analysis
- ✦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
- →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
- →Visualizing and studying complex topics
- →Turning research sources into study materials
- →Literature review and dissertation prep
- →Understanding an unfamiliar codebase quickly
- →Onboarding to open-source projects
- →Answering questions about repo internals
- →Freelance SEOs running client audits
- →Agencies producing white-label reports for clients
- →Marketers comparing their site against competitors
- →Parse complex documents for AI apps
- →Build RAG and agent workflows
- →Automate invoice and claims processing
- →Search across technical documents