OpenCrab is an ontology-centered knowledge platform designed for the AI agent era. It enables experts, researchers, and AI builders to transform scattered documents, notes, workflows, and domain expertise into structured, evidence-backed 'ontology packs.' These packs can be searched, shared, and queried by AI agents using Graph RAG and Model Context Protocol (MCP), grounding AI workflows in verifiable, high-quality knowledge graphs.
An ontology-centered Graph RAG platform that structures documents into reusable AI knowledge packs.
- Creating personal, evidence-backed knowledge graphs from research papers and analyst reports for grounded QA.
- Publishing and selling professional, domain-specific ontology packs on the OpenCrab Marketplace.
- Grounding custom AI agents (e.g., Claude Code, GPT) with unified enterprise knowledge endpoints.
- Synthesizing structured research notes for branding, product strategy, and customer sentiment analysis.
- To use OpenCrab
- first ingest unstructured data sources like PDFs
- HWP files
- URLs
- Notion pages
- or GitHub repositories. The platform extracts entities
- concepts
- claims
- and relations
- structuring them into a 9-space MetaOntology. Once structured
- you can query this knowledge graph using Graph RAG
- MCP clients
Visual tool for researchers to find and explore relevant academic papers.
Graph.one maps your professional network from email and calendar data for warm intros.
Transforms research papers into visual knowledge for better understanding and collaboration.
AI-powered research intelligence platform for insights into the global research ecosystem.
A global patent search and analysis platform with comprehensive IP services.
Data + Context for AI and Apps
Learn Anything Joyfully - From the Best Sources, Faster
Lettria transforms unstructured data into structured knowledge using AI and GraphRAG.
All-in-one AI Workspace: Create professional slides, essays, videos, images, podcasts, and deep research in minutes.
