--- title: "composio vs minds" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/composiohq-composio-vs-mindsdb-minds" tools: ["composiohq-composio", "mindsdb-minds"] --- # composio vs minds Neutral, constraint-first comparison with live GitHub stats. | | [composio](/tools/composiohq-composio.md) | [minds](/tools/mindsdb-minds.md) | | --- | --- | --- | | Tagline | Build AI agents that turn intent into action | Delegate anything. It comes back done. | | Stars | 29,135 | 39,382 | | Forks | 4,647 | 6,219 | | Open issues | 67 | 3 | | Language | TypeScript | Makefile | | Adopt for | Composio is an innovative tool designed for developers wanting to build sophisticated AI agents capable of turning user intent into actionable outputs. Its core competencies lie in its extensive toolkit management, easy鲈 | 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._ | | [composio](/tools/composiohq-composio.md) | [minds](/tools/mindsdb-minds.md) | | --- | --- | --- | | Days since push | 0d | 6d | | Open issues (now) | 67 | 3 | | Security scan | No criticals | No MCP manifest | | Full report | [trust report](/tools/composiohq-composio/trust.md) | [trust report](/tools/mindsdb-minds/trust.md) | **Typed relationship:** composio _(alternative)_ minds Composio and MindsHub Cowork both aim to build AI agents that turn intent into action, indicating they are alternatives targeting similar use cases. ## Decision facts: composio - **Adopt for:** Composio is an innovative tool designed for developers wanting to build sophisticated AI agents capable of turning user intent into actionable outputs. Its core competencies lie in its extensive toolkit management, easy鲈 ## 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 composio if… - composio is primarily TypeScript; minds is Makefile. - Composio and MindsHub Cowork both aim to build AI agents that turn intent into action, indicating they are alternatives targeting similar use cases. - Tags unique to composio: llmops, remote-mcp-server, agentic-ai, gpt-4. - When you need a robust framework that supports the development and deployment of AI agents in both TypeScript and Python environments. ### Choose minds if… - minds is primarily Makefile; composio is TypeScript. - Composio and MindsHub Cowork both aim to build AI agents that turn intent into action, indicating they are alternatives targeting similar use cases. - Tags unique to minds: llms, business-intelligence, ai, 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 composio - If your project requires extensive customization that exceeds the predefined capabilities of Composio's existing framework and integrated tools. - When working within a strictly non-TypeScript or non-Python environment, since Composio focuses on providing seamless integration with these specific languages. - For teams lacking proficiency in TypeScript and Python, as leveraging all features of Composio might require intermediate to advanced coding skills in these languages. - If your focus is purely on lower-level machine learning model training; Composio SDK's primary utility lies at a higher level专注于工具包管理和代理开发，而不是基础模型训练。 ## 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 composio and minds? composio: Build AI agents that turn intent into action. minds: Delegate anything. It comes back done.. See the comparison table for live GitHub stats and shared categories. ### When should I choose composio over minds? Choose composio over minds when composio is primarily TypeScript; minds is Makefile; Composio and MindsHub Cowork both aim to build AI agents that turn intent into action, indicating they are alternatives targeting similar use cases; Tags unique to composio: llmops, remote-mcp-server, agentic-ai, gpt-4; When you need a robust framework that supports the development and deployment of AI agents in both TypeScript and Python environments. ### When should I choose minds over composio? Choose minds over composio when minds is primarily Makefile; composio is TypeScript; Composio and MindsHub Cowork both aim to build AI agents that turn intent into action, indicating they are alternatives targeting similar use cases; Tags unique to minds: llms, business-intelligence, ai, 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 composio? If your project requires extensive customization that exceeds the predefined capabilities of Composio's existing framework and integrated tools. When working within a strictly non-TypeScript or non-Python environment, since Composio focuses on providing seamless integration with these specific languages. For teams lacking proficiency in TypeScript and Python, as leveraging all features of Composio might require intermediate to advanced coding skills in these languages. If your focus is purely on lower-level machine learning model training; Composio SDK's primary utility lies at a higher level专注于工具包管理和代理开发，而不是基础模型训练。 ### 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 composio or minds more popular on GitHub? minds has more GitHub stars (39,382 vs 29,135). Stars measure visibility, not whether either tool fits your constraints. ### Are composio and minds open source? Yes - both are open-source projects on GitHub (composio: MIT, minds: MIT). ### Where can I find alternatives to composio or minds? GraphCanon lists graph-backed alternatives at /tools/composiohq-composio/alternatives and /tools/mindsdb-minds/alternatives (/tools/composiohq-composio/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/composiohq-composio-vs-mindsdb-minds.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, composio or minds? composio: 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 composio and minds? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: composio: /tools/composiohq-composio/trust; minds: /tools/mindsdb-minds/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=composiohq-composio`](/api/graphcanon/graph?tool=composiohq-composio) - 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/_