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Developer API that gives AI agents persistent memory, retrieval, and connectors, usable both as infrastructure and a personal app.
Developer framework and LlamaParse service for parsing documents and building AI agents and RAG workflows over them.
AI creation studio that gathers scattered notes and ideas, then helps shape them into articles, slides, videos, or webpages.
Free all-in-one desktop AI app to chat with your documents and run RAG and AI agents fully local and private.
AI-moderated research platform for deep customer insights.
No public pricing
No public pricing
No public pricing
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
- ✦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
- ✦Central capture space for saved articles, videos, and notes
- ✦AI prompts that surface connections and gaps in collected ideas
- ✦Generates articles, slide decks, videos, and webpages from source material
- ✦Prebuilt style templates for slides and pages
- ✦Available as desktop app, browser extension, and mobile app
- ✦Skill and prompt library for specific creation tasks
- ✦Chat with your documents (RAG)
- ✦Runs locally and offline for privacy
- ✦Supports any LLM (local or cloud)
- ✦Built-in AI agents
- ✦Handles PDFs, Word, CSV, codebases
- ✦No-code setup
- ✦AI-moderated interviews
- ✦AI synthesis and highlight reels
- ✦Customizable AI interviewer persona
- ✦Multimodal research (video, voice, text)
- ✦Flexible participant recruitment
- ✦Advanced unmoderated testing
- →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
- →Parse complex documents for AI apps
- →Build RAG and agent workflows
- →Automate invoice and claims processing
- →Search across technical documents
- →Creators consolidating research into finished blog posts or scripts
- →Professionals turning meeting notes into structured reports
- →Teachers converting lesson ideas into slides and video lessons
- →Product managers organizing scattered feedback into insights
- →Privately querying your own documents
- →Running local AI without the cloud
- →Building AI agents over your data
- →Using multiple LLM providers in one app
- →Market strategy
- →Segmentation & Personas
- →Brand Research
- →Innovation & Concept Testing
- →User Experience & Usability
- →Creative Testing