Opencrab

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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.
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opencrab.sh/
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What is Opencrab?

An ontology-centered Graph RAG platform that structures documents into reusable AI knowledge packs.

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.

Core Features
Ontology Pack Creation: Converts scattered documents and expertise into reusable, structured knowledge packs.
Graph RAG & MCP Integration: Connects knowledge graphs seamlessly to LLMs and development workspaces via Model Context Protocol.
Multi-format Data Ingestion: Supports ingestion of PDFs, HWP files, Notion, GitHub, images (via OCR/CLIP), and web research.
9-Space MetaOntology Structure: Automatically organizes extracted concepts into structured categories like Subject, Evidence, Claim, Policy, and Lever.
Expert Marketplace: Provides a dedicated workflow for domain experts to publish, verify, and sell customized ontology packs.
Popular Use Cases
  • 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.
Feature Comparison
A functional comparison based on maker input.
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Comparison details are provided for informational purposes and should be verified with the official website.
How to use
  • 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
Pricing
Opencrab uses a freemium pricing model. Pricing and features may change over time.
Free
$0
Explore public ontology packs, run basic graph searches, and connect with external AI tools for query-only access. Private document ingestion is not supported.
Pro
$10 per month (15,000 KRW)
Allows ingestion of private documents, personal Graph RAG workspaces, and isolated ontology storage. Pack selling and reverse ingestion via MCP are not supported.
Expert
$30 per month (45,000 KRW)
Includes all Pro features, plus ontology pack publishing and marketplace verification workflows, reverse ingestion from connected MCP tools, and access to upcoming automated workflow agents.
Enterprise
Contact for Pricing
Minimum 5 seats. Offers dedicated company ontology office space, team-based ingestion permissions, private/team/company sharing controls, and specialized operation policies.
Deal / Coupon
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