OpenCrab
지식을 그래프로. 그래프를 에이전트로. (Turn knowledge into graphs, graphs into agents.)
What is OpenCrab?
OpenCrab is an Ontology Graph RAG platform that extracts entities, relationships, evidence, and claims from documents to build source-cited ontology graphs. These graphs can be packaged into reusable ontology packs and queried through graph RAG or MCP-compatible AI tools like Claude, ChatGPT, Cursor, and Codex.
SpecificationsAI-estimated
Key Features of OpenCrab
Use Cases for OpenCrab
Researcher / Analyst
Turn papers and reports into evidence graphs and verify with source-cited answers.
Domain Expert
Package expertise into ontology packs and sell them in the marketplace.
AI Builder
Use an MCP-connected knowledge graph as long-term memory and reasoning for AI agents.
How to use OpenCrab?
Collect
Upload documents, URLs, notes, or code. Parsing, OCR, and chunking are handled automatically.
Structure
Entities, relationships, evidence, and claims are extracted into a source-cited ontology graph.
Pack
Bundle the graph into reusable ontology packs and share or sell them.
Query
Ask grounded questions through OpenCrab, MCP clients, or connected AI workspaces.
Pros & Cons of OpenCrab
Pros
- MCP-based integration with Claude, ChatGPT, Cursor, and Codex
- Graph RAG with grounded source citations
- Supports PDF, URL, OCR, Notion, and GitHub ingestion
- Ontology packs can be shared, versioned, and sold via marketplace
- Clear pricing tiers from free to expert
Cons
- Relatively early-stage platform
- Ontology graph concepts may require a learning curve
- Pricing may be limited for team or enterprise features
Frequently Asked Questions
What is OpenCrab?
OpenCrab is an ontology graph RAG platform that turns documents into structured knowledge graphs and lets AI agents query them via MCP.
Can I use OpenCrab with ChatGPT or Claude?
Yes. OpenCrab provides an MCP server that connects these AI tools to the same graph.
Can I sell ontology packs?
Yes, on the Expert plan you can publish, manage, and sell ontology packs in the marketplace.
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