--- title: "lobehub vs minds" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/lobehub-lobehub-vs-mindsdb-minds" tools: ["lobehub-lobehub", "mindsdb-minds"] --- # lobehub vs minds Neutral, constraint-first comparison with live GitHub stats. | | [lobehub](/tools/lobehub-lobehub.md) | [minds](/tools/mindsdb-minds.md) | | --- | --- | --- | | Tagline | Your Chief Agent Operator for organizing agents into continuous operations | Delegate anything. It comes back done. | | Stars | 79,597 | 39,382 | | Forks | 15,565 | 6,219 | | Open issues | 586 | 3 | | Language | TypeScript | Makefile | | Adopt for | LobeHub is designed as a Chief Agent Operator, focusing on orchestrating AI agents into continuous operations through tasks such as hiring, scheduling, and reporting. | 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 | AI Agents | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [lobehub](/tools/lobehub-lobehub.md) | [minds](/tools/mindsdb-minds.md) | | --- | --- | --- | | Days since push | 0d | 6d | | Open issues (now) | 586 | 3 | | Full report | [trust report](/tools/lobehub-lobehub/trust.md) | [trust report](/tools/mindsdb-minds/trust.md) | **Typed relationship:** lobehub _(alternative)_ minds Both MindsDB/MINDS and LobeHub focus on organizing and managing AI agents for continuous operation and task completion. ## Decision facts: lobehub - **Requirements:** LobeHub supports deployment via Vercel, Zeabur, Sealos, or Alibaba Cloud. It can also be deployed using Docker. - **Adopt for:** LobeHub is designed as a Chief Agent Operator, focusing on orchestrating AI agents into continuous operations through tasks such as hiring, scheduling, and reporting. - **Runtime:** unknown ## 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 lobehub if… - lobehub is primarily TypeScript; minds is Makefile. - License: lobehub is Other, minds is MIT. - Requirements: LobeHub supports deployment via Vercel, Zeabur, Sealos, or Alibaba Cloud. It can also be deployed using Docker.. - Both MindsDB/MINDS and LobeHub focus on organizing and managing AI agents for continuous operation and task completion. - Tags unique to lobehub: agent-collaboration, chief-agent-operator, agent. - lobehub ships an MCP server manifest. - If you need around-the-clock management of your AI team. ### Choose minds if… - minds is primarily Makefile; lobehub is TypeScript. - License: minds is MIT, lobehub is Other. - Both MindsDB/MINDS and LobeHub focus on organizing and managing AI agents for continuous operation and task completion. - Tags unique to minds: llms, agents, business-intelligence, artificial-intelligence. - Also covers Data & Retrieval. - 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 lobehub - If only single agent management is needed; LobeHub's strength lies in orchestrating multiple agents. - When the operational environment does not require continuous (24/7) operations of AI agents as LobeHub focuses on providing that constant availability. - For users who prefer open-source alternatives with extensive community support, given its license isn’t explicitly marked as open-source. ## 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 lobehub and minds? lobehub: Your Chief Agent Operator for organizing agents into continuous operations. minds: Delegate anything. It comes back done.. See the comparison table for live GitHub stats and shared categories. ### When should I choose lobehub over minds? Choose lobehub over minds when lobehub is primarily TypeScript; minds is Makefile; License: lobehub is Other, minds is MIT; Requirements: LobeHub supports deployment via Vercel, Zeabur, Sealos, or Alibaba Cloud. It can also be deployed using Docker.; Both MindsDB/MINDS and LobeHub focus on organizing and managing AI agents for continuous operation and task completion; Tags unique to lobehub: agent-collaboration, chief-agent-operator, agent; lobehub ships an MCP server manifest; If you need around-the-clock management of your AI team. ### When should I choose minds over lobehub? Choose minds over lobehub when minds is primarily Makefile; lobehub is TypeScript; License: minds is MIT, lobehub is Other; Both MindsDB/MINDS and LobeHub focus on organizing and managing AI agents for continuous operation and task completion; Tags unique to minds: llms, agents, business-intelligence, artificial-intelligence; Also covers Data & Retrieval; 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 lobehub? If only single agent management is needed; LobeHub's strength lies in orchestrating multiple agents. When the operational environment does not require continuous (24/7) operations of AI agents as LobeHub focuses on providing that constant availability. For users who prefer open-source alternatives with extensive community support, given its license isn’t explicitly marked as open-source. ### 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 lobehub or minds more popular on GitHub? lobehub has more GitHub stars (79,597 vs 39,382). Stars measure visibility, not whether either tool fits your constraints. ### Are lobehub and minds open source? Yes - both are open-source projects on GitHub (lobehub: Other, minds: MIT). ### Where can I find alternatives to lobehub or minds? GraphCanon lists graph-backed alternatives at /tools/lobehub-lobehub/alternatives and /tools/mindsdb-minds/alternatives (/tools/lobehub-lobehub/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/lobehub-lobehub-vs-mindsdb-minds.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, lobehub or minds? lobehub: 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 lobehub and minds? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lobehub: /tools/lobehub-lobehub/trust; minds: /tools/mindsdb-minds/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=lobehub-lobehub`](/api/graphcanon/graph?tool=lobehub-lobehub) - 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/_