--- title: "SQLBot vs minds" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dataease-sqlbot-vs-mindsdb-minds" tools: ["dataease-sqlbot", "mindsdb-minds"] --- # SQLBot vs minds Neutral, constraint-first comparison with live GitHub stats. | | [SQLBot](/tools/dataease-sqlbot.md) | [minds](/tools/mindsdb-minds.md) | | --- | --- | --- | | Tagline | 基于大模型和 RAG 的智能问数系统，对话式数据分析神器 | Delegate anything. It comes back done. | | Stars | 6,369 | 39,382 | | Forks | 779 | 6,219 | | Open issues | 89 | 3 | | Language | JavaScript | Makefile | | Adopt for | SQLBot 是一款基于大语言模型与 RAG 技术的对话式数据分析工具，旨在通过自然语言交互来简化数据分析流程，适用于需要快速从数据中获取洞察的企业用户。 | MindsHub Cowork, known as 'minds', emerges as a unified platform for delegating and automating tasks ranging from research to reporting. It integrates with various data sources and utilizes open-source AI agents for task | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | Data & Retrieval, Model Training | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [SQLBot](/tools/dataease-sqlbot.md) | [minds](/tools/mindsdb-minds.md) | | --- | --- | --- | | Days since push | 0d | 6d | | Open issues (now) | 89 | 3 | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/dataease-sqlbot/trust.md) | [trust report](/tools/mindsdb-minds/trust.md) | **Typed relationship:** SQLBot _(alternative)_ minds MindsDB提供智能查询服务，支持自然语言到SQL的转换，类似于SQLBot的功能，但实现方式可能有所不同。 ## Decision facts: SQLBot - **Requirements:** Min 4 GB RAM; Requires Docker; 需配置并运行Docker容器以部署; 支持多种大模型服务商的API接入 - **Adopt for:** SQLBot 是一款基于大语言模型与 RAG 技术的对话式数据分析工具，旨在通过自然语言交互来简化数据分析流程，适用于需要快速从数据中获取洞察的企业用户。 ## Decision facts: minds - **Adopt for:** MindsHub Cowork, known as 'minds', emerges as a unified platform for delegating and automating tasks ranging from research to reporting. It integrates with various data sources and utilizes open-source AI agents for task ## Choose when ### Choose SQLBot if… - SQLBot is primarily JavaScript; minds is Makefile. - License: SQLBot is Other, minds is MIT. - Requirements: Min 4 GB RAM; Requires Docker; 需配置并运行Docker容器以部署; 支持多种大模型服务商的API接入. - MindsDB提供智能查询服务，支持自然语言到SQL的转换，类似于SQLBot的功能，但实现方式可能有所不同。 - Tags unique to SQLBot: text-to-sql, deepseek, llm, chatbi. - Also covers Model Training. - 当你的团队希望以更直观和便捷的方式进行数据分析时，SQLBot 可让用户以对话形式提问并获得相应结果。 ### Choose minds if… - minds is primarily Makefile; SQLBot is JavaScript. - License: minds is MIT, SQLBot is Other. - MindsDB提供智能查询服务，支持自然语言到SQL的转换，类似于SQLBot的功能，但实现方式可能有所不同。 - Tags unique to minds: llms, agents, business-intelligence, ai. - Also covers AI Agents. - You require automation for multi-step knowledge work that involves reading and writing tasks such as report generation, monitoring activities, recurring workflows, and scheduled operations. ## When NOT to use SQLBot - 如果企业的数据安全政策非常严格，并且对外部访问和API依赖较为敏感的话，则SQLBot可能不是最佳选择。 - 对于需要高度定制化数据分析工具的企业，SQLBot的开箱即用特性或许不能满足特定领域或复杂业务需求的专业调整。 - 如果你的需求中涉及到大量实时更新的数据处理或者对时延要求极高的场景，SQLBot基于LLM和RAG技术的特点可能无法完全适应这些要求严格的环境。 ## When NOT to use minds - You are working in an environment with extremely strict data privacy requirements that prohibit any kind of external access to data sources. - Your tasks require real-time interaction and the AI agents' results aren't suitable for your workflow because they operate on a schedule rather than providing instantaneous responses. - The need is for high-performance customization without pre-built integrations or if you prefer an entirely custom approach where out-of-the-box solutions and interchangeable open-source agents - You are seeking to integrate exclusively with data sources not listed here, such as less common proprietary databases or platforms lacking direct support from MindsHub ## Common questions ### What is the difference between SQLBot and minds? SQLBot: 基于大模型和 RAG 的智能问数系统，对话式数据分析神器. minds: Delegate anything. It comes back done.. See the comparison table for live GitHub stats and shared categories. ### When should I choose SQLBot over minds? Choose SQLBot over minds when SQLBot is primarily JavaScript; minds is Makefile; License: SQLBot is Other, minds is MIT; Requirements: Min 4 GB RAM; Requires Docker; 需配置并运行Docker容器以部署; 支持多种大模型服务商的API接入; MindsDB提供智能查询服务，支持自然语言到SQL的转换，类似于SQLBot的功能，但实现方式可能有所不同。; Tags unique to SQLBot: text-to-sql, deepseek, llm, chatbi; Also covers Model Training; 当你的团队希望以更直观和便捷的方式进行数据分析时，SQLBot 可让用户以对话形式提问并获得相应结果。. ### When should I choose minds over SQLBot? Choose minds over SQLBot when minds is primarily Makefile; SQLBot is JavaScript; License: minds is MIT, SQLBot is Other; MindsDB提供智能查询服务，支持自然语言到SQL的转换，类似于SQLBot的功能，但实现方式可能有所不同。; Tags unique to minds: llms, agents, business-intelligence, ai; Also covers AI Agents; You require automation for multi-step knowledge work that involves reading and writing tasks such as report generation, monitoring activities, recurring workflows, and scheduled operations. ### When should I avoid SQLBot? 如果企业的数据安全政策非常严格，并且对外部访问和API依赖较为敏感的话，则SQLBot可能不是最佳选择。 对于需要高度定制化数据分析工具的企业，SQLBot的开箱即用特性或许不能满足特定领域或复杂业务需求的专业调整。 如果你的需求中涉及到大量实时更新的数据处理或者对时延要求极高的场景，SQLBot基于LLM和RAG技术的特点可能无法完全适应这些要求严格的环境。 ### When should I avoid minds? You are working in an environment with extremely strict data privacy requirements that prohibit any kind of external access to data sources. Your tasks require real-time interaction and the AI agents' results aren't suitable for your workflow because they operate on a schedule rather than providing instantaneous responses. The need is for high-performance customization without pre-built integrations or if you prefer an entirely custom approach where out-of-the-box solutions and interchangeable open-source agents You are seeking to integrate exclusively with data sources not listed here, such as less common proprietary databases or platforms lacking direct support from MindsHub ### Is SQLBot or minds more popular on GitHub? minds has more GitHub stars (39,382 vs 6,369). Stars measure visibility, not whether either tool fits your constraints. ### Are SQLBot and minds open source? Yes - both are open-source projects on GitHub (SQLBot: Other, minds: MIT). ### Where can I find alternatives to SQLBot or minds? GraphCanon lists graph-backed alternatives at /tools/dataease-sqlbot/alternatives and /tools/mindsdb-minds/alternatives (/tools/dataease-sqlbot/alternatives.md, /tools/mindsdb-minds/alternatives.md), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at /compare/dataease-sqlbot-vs-mindsdb-minds.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, SQLBot or minds? SQLBot: Very active. minds: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for SQLBot and minds? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: SQLBot: /tools/dataease-sqlbot/trust; minds: /tools/mindsdb-minds/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dataease-sqlbot`](/api/graphcanon/graph?tool=dataease-sqlbot) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_