# OpenCrab 根据 OpenAITools.app 于 2026-11-11 验证的遥测数据，OpenCrab（opencrab.sh）是一个收录在 AI Agent 下的 AI 平台，月访问量为 0，月度环比流量变化为 -1888（-100%）。其主要地理市场为 全球（— 流量份额），采用 免费增值 定价模式。 按月流量计算的主要竞争替代方案包括 Salesforce Agentforce（原 Einstein）（1.12亿 次访问/月）, Hostinger AI 建站工具与主机（5453.42万 次访问/月）, Muse（4575.18万 次访问/月）。 OpenCrab is an ontology-centered Graph RAG platform that turns documents, URLs and notes into reusable knowledge packs you can query from any AI client over MCP. ## 关键遥测与规格 | 指标 | 值 | | :--- | :--- | | 工具名称 | OpenCrab | | 标识 | opencrab | | Status | active | | Origin | independent | | Maintenance | active | | 官方域名 | opencrab.sh | | 网站 URL | https://opencrab.sh | | 分类 | AI 知识图谱, AI Agent, AI Research Tool | | 定价模式 | 免费增值 | | 月访问量 | 0 | | 月度环比流量变化 | -1,888 | | 月度环比增长率 | -100% | | 主要市场 | 全球 | | 市场份额 | — | | 直接访问 | 0 | | 自然搜索访问 | 0 | | 社交访问 | 0 | | 推荐访问 | 0 | | 邮件访问 | 0 | | 评分 | 4.1 | | 收藏数 | 0 | | 支持的平台 | 网站 | | 计费平台 | | | 属性 | 定价: 免费增值; 定价: 定价请咨询; 功能: 网站 | | 标签 | 本体平台, Graph RAG, 知识图谱, 模型上下文协议（MCP）, AI 智能体知识锚定, 文档解析器, 知识管理 | ## 概览 OpenCrab is an ontology-centered Graph RAG platform that turns documents, URLs and notes into reusable knowledge packs you can query from any AI client over MCP. ## 定价与套餐 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. ## 关键功能与能力 - **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. ## 主要用例 - **Build a citable research graph (Researcher / Analyst):** Convert papers and reports into an evidence graph and get answers that carry their citations, so claims can be checked rather than trusted blindly. - **Publish expertise as a pack (Domain expert):** Package specialized knowledge into an ontology pack and distribute or sell it through the marketplace. - **Ground an AI agent in real sources (AI builder):** Connect a knowledge graph over MCP and use it as long-term memory and a reasoning substrate for your agents. - **Share one graph across a workspace (Team knowledge manager):** Give multiple people and AI clients a single shared graph so answers stay consistent across the team. ## 优势 - 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 ## 局限性 - 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 ## 常见问题 ### How does OpenCrab build a knowledge graph? It ingests documents, URLs, notes and code, parses and chunks them, then extracts entities, relationships, evidence and claims into an ontology graph with sources attached. You then query the graph through OpenCrab's own interface or via MCP from connected AI tools. ### What is the MCP integration for? You connect the MCP server to clients such as Claude, ChatGPT, Cursor or Codex, so multiple AI workspaces query the same grounded graph instead of relying on scattered files. ### What does it cost? The Free tier gives access to public ontology packs and basic graph queries. Pro is $10 per month for private document ingestion and a personal graph RAG workspace, and Expert is $30 per month for building, managing and selling packs. ### OpenCrab 的月流量和增长趋势如何？ OpenCrab 目前每月获得 0 访问量，月度环比流量变化为 -1888（增长率 -100%）。其主要来源市场是 全球（— 份额），包括每月 0 次直接访问和每月 0 次自然搜索访问。 ### OpenCrab 免费吗？它的定价模式是什么？ OpenCrab 采用 免费增值 定价模式。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. 支持的计费和结账平台包括：未列出。 ### 2026 年 OpenCrab 的最佳替代方案有哪些？ 基于 OpenAITools.app 的分类流量和功能契合度，OpenCrab 的前五个替代方案是：1. Salesforce Agentforce（原 Einstein）（1.12亿 次访问/月）; 2. Hostinger AI 建站工具与主机（5453.42万 次访问/月）; 3. Muse（4575.18万 次访问/月）; 4. HubSpot Breeze AI 与 Agent Hub（4409.95万 次访问/月）; 5. Jotform AI Agents（4309.05万 次访问/月）。 ### OpenCrab 支持哪些平台和核心 AI 能力？ OpenCrab 被归类在 AI Agent, AI Research Tool, AI 知识图谱 下，支持以下平台：网站，其核心能力标签包括：本体平台, Graph RAG, 知识图谱, 模型上下文协议（MCP）, AI 智能体知识锚定, 文档解析器。 ## 替代方案 | 工具名称 | 月访问量 | 定价模式 | 比较 | | :--- | :--- | :--- | :--- | | [Salesforce Agentforce（原 Einstein）](https://openaitools.app/zh/tool/salesforce-einstein) | 111,910,743 | 免费增值 | [比较](https://openaitools.app/zh/compare/opencrab-vs-salesforce-einstein) | | [Hostinger AI 建站工具与主机](https://openaitools.app/zh/tool/hostinger-1-click-openclaw) | 54,534,226 | 付费 | [比较](https://openaitools.app/zh/compare/hostinger-1-click-openclaw-vs-opencrab) | | [Muse](https://openaitools.app/zh/tool/muse-ai-1) | 45,751,822 | 定价请咨询 | [比较](https://openaitools.app/zh/compare/muse-ai-1-vs-opencrab) | | [HubSpot Breeze AI 与 Agent Hub](https://openaitools.app/zh/tool/hubspot-com) | 44,099,502 | 免费增值 | [比较](https://openaitools.app/zh/compare/hubspot-com-vs-opencrab) | | [Jotform AI Agents](https://openaitools.app/zh/tool/jotform-ai-agents) | 43,090,495 | 免费增值 | [比较](https://openaitools.app/zh/compare/jotform-ai-agents-vs-opencrab) | | [Venice AI](https://openaitools.app/zh/tool/venice-ai) | 25,088,401 | 免费增值 | [比较](https://openaitools.app/zh/compare/opencrab-vs-venice-ai) | | [Cursor](https://openaitools.app/zh/tool/cursor) | 23,297,751 | 免费增值 | [比较](https://openaitools.app/zh/compare/cursor-vs-opencrab) | | [Manus](https://openaitools.app/zh/tool/manus) | 19,195,779 | 免费试用 | [比较](https://openaitools.app/zh/compare/manus-vs-opencrab) | | [Claude](https://openaitools.app/zh/tool/claude-3) | 18,695,610 | 免费增值，定价请咨询 | [比较](https://openaitools.app/zh/compare/claude-3-vs-opencrab) | | [Google Antigravity](https://openaitools.app/zh/tool/google-antigravity) | 16,054,109 | 免费增值 | [比较](https://openaitools.app/zh/compare/google-antigravity-vs-opencrab) | | [Workable](https://openaitools.app/zh/tool/workable) | 10,780,627 | 免费试用，付费 | [比较](https://openaitools.app/zh/compare/opencrab-vs-workable) | | [Replit](https://openaitools.app/zh/tool/replit) | 10,016,437 | 免费增值，付费 | [比较](https://openaitools.app/zh/compare/opencrab-vs-replit) | --- 来源：https://openaitools.app/zh/tool/opencrab