OpenCrab
The ontology layer for AI agents and expert knowledge.
6 followers
The ontology layer for AI agents and expert knowledge.
6 followers
OpenCrab helps experts turn documents, workflows, and domain knowledge into structured ontology packs that AI agents can query, reason over, and reuse. OpenCrab is an ontology-centered knowledge platform for the AI agent era. It lets experts transform scattered documents, know-how, and workflows into structured, evidence-backed knowledge packs that can be searched, shared, and used by AI agents.
This is pretty interesting. Obsidian and LLM Wikis are great for collecting and linking knowledge, but when you actually want to reuse that knowledge in AI agents or automation workflows, it usually needs another layer of structure.
OpenCrab seems different because it turns documents and research into ontology packs, then connects them to Graph RAG or MCP workflows through nodes, edges, and evidence. Rather than just being another knowledge repository, it feels more like a way to turn continuously updated knowledge, such as market research, competitor analysis, internal manuals, or domain research, into reusable work assets.
I also think this kind of evidence-based structure could help reduce hallucinations in AI agents. Instead of just retrieving text, the agent can refer to sources and relationship structures together, giving it a more verifiable grounding when generating answers.