# Cluing vs OpenCrab Cluing records 11,227 monthly visits with -43.1% month-over-month growth and Freemium pricing. OpenCrab records 0 monthly visits with -100% growth and Freemium pricing. | Metric | [Cluing](https://openaitools.app/tool/cluing) | [OpenCrab](https://openaitools.app/tool/opencrab) | | :--- | :--- | :--- | | Website URL | https://www.cluing.io | https://opencrab.sh | | Categories | AI Knowledge Management, AI Knowledge Base, AI Research Tool, AI Agent | AI Knowledge Graph, AI Agent, AI Research Tool | | Pricing Model | Freemium | Freemium | | Monthly Visits | 11,227 | 0 | | MoM Growth Rate | -43.1% | -100% | | Primary Market | United States | Global | | Direct Visits | 4,453 | 0 | | Review Score | 3.9 | 4.1 | | Saved Count | 0 | 0 | | Supported Platforms | Website | Website | ## Cluing Cluing is a knowledge platform built for the AI era. Its core idea is that AI is only as useful as the context you give it, so Cluing focuses on capturing the insights you find during everyday work — while browsing the web, reading PDFs, watching videos, scrolling social feeds, or reading newsletters — and storing them in one organized space. A browser extension and mobile capture mean you can save a highlight or note with a keystroke instead of copy-pasting between apps. Once saved, Cluing helps organize that material. It can suggest structure with chat, group related items, and use knowledge triggers to surface connections. The distinguishing feature is how the knowledge is used: Cluing positions itself as model-independent, so you can supply your saved context to any frontier model or custom agent through what it calls an AI Canvas and native MCP support, without switching tabs or losing context. The interface highlights capture from many source types, AI-assisted organization, and a shared space where teams and agents draw on the same knowledge base. A free entry point is emphasized on the marketing site ("get it now it's free"), making it an accessible starting point for personal knowledge management, research, and team collaboration. **Pricing & Plans:** Freemium: a free plan is advertised on the site ("Start for free"), with paid upgrades for teams and heavier use. Confirm current tiers on the pricing page. - **Capture from anywhere:** Save highlights and insights from webpages, PDFs, videos, social posts, newsletters, Kindle, and email using a browser extension or mobile capture. - **AI-assisted organization:** Let AI suggest structure, group related insights, and use knowledge triggers and chat to keep your base tidy and searchable. - **Model-independent context:** Feed your stored knowledge to any frontier model or custom agent via an AI Canvas and native MCP, so your context travels with you. - **Shared team knowledge base:** Build a common context space that both people and AI agents draw on for research, feedback, and collaboration. - **Desktop and mobile working:** Capture and review insights on the go or at your desk, with a Chrome/Opera-friendly extension. **Strengths:** Captures insights from a wide range of sources with minimal friction; Works with any AI model, avoiding lock-in to a single vendor; Free entry point makes it easy to start; Shared space supports both human and agent collaboration **Limitations:** Value depends on building the habit of capturing consistently; As a newer product, integrations and features are still expanding; Advanced team and agent workflows may require a paid plan [Profile (Markdown)](https://openaitools.app/tool/cluing.md) ## OpenCrab OpenCrab is built around a simple idea: knowledge should be structured as a graph before agents reason over it. You feed the platform documents, URLs, notes or code, and it handles the unglamorous work of parsing, OCR and chunking. From there it extracts entities, concepts, evidence, relationships and claims, weaving them into a source-attributed ontology graph. The second half of the product is reuse. Graphs can be saved as versioned ontology packs, shared with teammates, or published and sold through the marketplace. A researcher can turn a stack of papers into a queryable, citation-backed graph; a domain expert can package their know-how as a sellable pack; an AI builder can wire the graph into an agent as long-term memory. The connector layer is what ties it together. A single MCP server means Claude, ChatGPT, Cursor, Codex and other clients all see the same graph, so grounded retrieval travels with you across tools rather than being locked in one workspace. Pricing starts free, with paid tiers for private ingestion and pack publishing. **Pricing & Plans:** Free tier at $0/month for exploring and sharing public ontology packs and basic graph queries. Pro is $10/month for private document ingestion and a personal graph RAG workspace. Expert is $30/month for pack publishing workflows and MCP reverse ingest. Billing is handled securely via Paddle and can be changed at any time. - **Document ingestion and parsing:** Upload documents, URLs, notes or code and let the platform handle parsing, OCR and chunking automatically. - **Ontology graph construction:** Extract entities, concepts, evidence, relationships and claims into a graph where every node traces back to a source. - **Reusable ontology packs:** Bundle a graph into a versioned, reusable pack you can share with your team or sell in the marketplace. - **MCP server integration:** One MCP server lets Claude, ChatGPT, Cursor, Codex and other clients query the same graph. - **Graph RAG querying:** Retrieve grounded, cited answers from your graph instead of relying on a model's memory alone. **Strengths:** Turns unstructured documents into a source-attributed graph rather than a flat vector index; MCP server means the same grounded knowledge works across Claude, ChatGPT, Cursor and Codex; Ontology packs are reusable, shareable and sellable, creating value beyond a single project; CRUD-style tiers are affordable, with a genuinely usable free level **Limitations:** Some features (pack publishing, MCP reverse ingest) are gated behind the Expert tier; Best value requires feeding it well-structured documents; messy inputs limit graph quality; The public library and marketplace are still relatively young, so niche ontologies may be sparse [Profile (Markdown)](https://openaitools.app/tool/opencrab.md) ## Frequently Asked Questions ### How do Cluing and OpenCrab compare in monthly traffic? Cluing has 11,227 monthly visits, while OpenCrab has 0. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Cluing has a month-over-month growth rate of -43.1%; OpenCrab has -100%. ### How does pricing compare? Cluing: Freemium. Freemium: a free plan is advertised on the site ("Start for free"), with paid upgrades for teams and heavier use. Confirm current tiers on the pricing page. OpenCrab: Freemium. Free tier at $0/month for exploring and sharing public ontology packs and basic graph queries. Pro is $10/month for private document ingestion and a personal graph RAG workspace. Expert is $30/month for pack publishing workflows and MCP reverse ingest. Billing is handled securely via Paddle and can be changed at any time. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | The AI workspace where teams and agents get work done together | [.md](https://openaitools.app/tool/t.md) | | 2 | [ima.copilot](https://openaitools.app/tool/ima-copilot) | 915,949 | -14.8% | Freemium | Tencent's AI knowledge steward for searching, reading, writing, and managing your own knowledge base. | [.md](https://openaitools.app/tool/ima-copilot.md) | | 3 | [Connected Papers](https://openaitools.app/tool/connected-papers) | 750,576 | +3.1% | Freemium | Explore the academic literature as a visual graph of related papers | [.md](https://openaitools.app/tool/connected-papers.md) | | 4 | [Craft](https://openaitools.app/tool/craft-do) | 703,417 | +8.9% | Freemium | A polished space for notes, tasks, and documents that follows you across every device. | [.md](https://openaitools.app/tool/craft-do.md) | | 5 | [LlamaIndex](https://openaitools.app/tool/llamaindex) | 387,910 | +19.9% | Freemium, Contact for Pricing | Turn any document into AI-ready context with agentic parsing and extraction | [.md](https://openaitools.app/tool/llamaindex.md) | | 6 | [iWeaver](https://openaitools.app/tool/iweaver) | 336,462 | +32.9% | Freemium | AI agents that turn your own documents into summaries, mind maps and reports | [.md](https://openaitools.app/tool/iweaver.md) | | 7 | [Open Knowledge Maps](https://openaitools.app/tool/openknowledgemaps-org) | 83,432 | -2.4% | Free | AI-powered visual discovery of scientific knowledge | [.md](https://openaitools.app/tool/openknowledgemaps-org.md) | | 8 | [InfraNodus](https://openaitools.app/tool/infranodus) | 62,927 | -9.9% | Freemium, Free Trial | AI text analysis with knowledge graphs to reveal topics and content gaps | [.md](https://openaitools.app/tool/infranodus.md) | | 9 | [Flexnote](https://openaitools.app/tool/flexnote) | 41,017 | +113.1% | Freemium | Local-first visual note-taking on an infinite canvas with mind maps and knowledge-base AI | [.md](https://openaitools.app/tool/flexnote.md) | | 10 | [Context Link](https://openaitools.app/tool/context-link) | 40,191 | -13.1% | Free Trial, Paid | Give ChatGPT and Claude a single way to ask your whole business | [.md](https://openaitools.app/tool/context-link.md) | --- Source: https://openaitools.app/compare/cluing-vs-opencrab More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)