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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.
A fast, keyboard-driven Mac/Windows launcher with an extension store and built-in AI commands for power users who live in shortcuts.
Developer framework and LlamaParse service for parsing documents and building AI agents and RAG workflows over them.
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- ✦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
- ✦Extendable command-bar launcher for macOS and beta Windows support
- ✦Thousands of third-party extensions from a public store
- ✦Built-in AI chat and custom AI command automation
- ✦Clipboard history, window management, and calculator utilities
- ✦Text snippets and quicklinks for repetitive actions
- ✦Hotkeys and aliases for common apps and commands
- ✦Team plan for sharing snippets, quicklinks, and extensions
- ✦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
- →Launching apps and running quick commands without leaving the keyboard
- →Automating repetitive text and file tasks with snippets and quicklinks
- →Getting AI answers or writing help without switching apps
- →Sharing productivity tooling and extensions across a team
- →Parse complex documents for AI apps
- →Build RAG and agent workflows
- →Automate invoice and claims processing
- →Search across technical documents