--- title: "huginn vs minds" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/huginn-huginn-vs-mindsdb-minds" tools: ["huginn-huginn", "mindsdb-minds"] --- # huginn vs minds Neutral, constraint-first comparison with live GitHub stats. | | [huginn](/tools/huginn-huginn.md) | [minds](/tools/mindsdb-minds.md) | | --- | --- | --- | | Tagline | Create agents that monitor and act on your behalf. | Delegate anything. It comes back done. | | Stars | 49,582 | 39,382 | | Forks | 4,276 | 6,219 | | Open issues | 698 | 3 | | Language | Ruby | Makefile | | Adopt for | Huginn is an open-source tool written in Ruby under the MIT license, designed to automate tasks through agents that monitor and act on behalf of users. It stands out by supporting a wide range of integration options like | 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 | MIT | MIT | | Categories | AI Agents | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [huginn](/tools/huginn-huginn.md) | [minds](/tools/mindsdb-minds.md) | | --- | --- | --- | | Days since push | 1d | 6d | | Open issues (now) | 698 | 3 | | Security scan | No criticals | No MCP manifest | | Full report | [trust report](/tools/huginn-huginn/trust.md) | [trust report](/tools/mindsdb-minds/trust.md) | **Typed relationship:** huginn _(alternative)_ minds MindsHub Cowork and Huginn both create agents to automate tasks on your behalf, suggesting they can serve as alternatives depending on the specific needs. ## Decision facts: huginn - **Hosting:** self hosted - **Pricing:** freemium - Free to use with the MIT license, encouraging contributions for improvements and new agent development. - **Adopt for:** Huginn is an open-source tool written in Ruby under the MIT license, designed to automate tasks through agents that monitor and act on behalf of users. It stands out by supporting a wide range of integration options like ## 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 huginn if… - huginn is primarily Ruby; minds is Makefile. - Pricing: Free to use with the MIT license, encouraging contributions for improvements and new agent development.. - MindsHub Cowork and Huginn both create agents to automate tasks on your behalf, suggesting they can serve as alternatives depending on the specific needs. - Tags unique to huginn: webscraping, twitter-streaming, rss, automation. - You need fine-grained control over your data and want to host automation tools on-premises. ### Choose minds if… - minds is primarily Makefile; huginn is Ruby. - MindsHub Cowork and Huginn both create agents to automate tasks on your behalf, suggesting they can serve as alternatives depending on the specific needs. - Tags unique to minds: llms, agents, business-intelligence, ai. - Also covers Data & Retrieval. - minds ships Docker support for self-hosted deployment. - 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 huginn - The required integrations are not supported by Huginn, such as specific cloud services that it does not natively connect to. - Your use case demands high-security compliance that is not met with self-hosted solutions managed with the complexity of Ruby applications. - You prefer pre-built, user-friendly automation platforms that do not require additional setup and maintenance effort. ## 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 huginn and minds? huginn: Create agents that monitor and act on your behalf.. minds: Delegate anything. It comes back done.. See the comparison table for live GitHub stats and shared categories. ### When should I choose huginn over minds? Choose huginn over minds when huginn is primarily Ruby; minds is Makefile; Pricing: Free to use with the MIT license, encouraging contributions for improvements and new agent development.; MindsHub Cowork and Huginn both create agents to automate tasks on your behalf, suggesting they can serve as alternatives depending on the specific needs; Tags unique to huginn: webscraping, twitter-streaming, rss, automation; You need fine-grained control over your data and want to host automation tools on-premises. ### When should I choose minds over huginn? Choose minds over huginn when minds is primarily Makefile; huginn is Ruby; MindsHub Cowork and Huginn both create agents to automate tasks on your behalf, suggesting they can serve as alternatives depending on the specific needs; Tags unique to minds: llms, agents, business-intelligence, ai; Also covers Data & Retrieval; minds ships Docker support for self-hosted deployment; 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 huginn? The required integrations are not supported by Huginn, such as specific cloud services that it does not natively connect to. Your use case demands high-security compliance that is not met with self-hosted solutions managed with the complexity of Ruby applications. You prefer pre-built, user-friendly automation platforms that do not require additional setup and maintenance effort. ### 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 huginn or minds more popular on GitHub? huginn has more GitHub stars (49,582 vs 39,382). Stars measure visibility, not whether either tool fits your constraints. ### Are huginn and minds open source? Yes - both are open-source projects on GitHub (huginn: MIT, minds: MIT). ### Where can I find alternatives to huginn or minds? GraphCanon lists graph-backed alternatives at /tools/huginn-huginn/alternatives and /tools/mindsdb-minds/alternatives (/tools/huginn-huginn/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/huginn-huginn-vs-mindsdb-minds.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, huginn or minds? huginn: 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 huginn and minds? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: huginn: /tools/huginn-huginn/trust; minds: /tools/mindsdb-minds/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=huginn-huginn`](/api/graphcanon/graph?tool=huginn-huginn) - 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/_