--- title: "agentscope vs minds" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentscope-ai-agentscope-vs-mindsdb-minds" tools: ["agentscope-ai-agentscope", "mindsdb-minds"] --- # agentscope vs minds Neutral, constraint-first comparison with live GitHub stats. | | [agentscope](/tools/agentscope-ai-agentscope.md) | [minds](/tools/mindsdb-minds.md) | | --- | --- | --- | | Tagline | Build and run agents you can see, understand and trust. | Delegate anything. It comes back done. | | Stars | 27,575 | 39,382 | | Forks | 3,141 | 6,219 | | Open issues | 254 | 3 | | Language | Python | Makefile | | Adopt for | AgentScope is a production-ready agent framework designed for creating and managing intelligent agents, offering functionalities like an event system, permission control, multi-tenancy support, workspace/sandbox support, | 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 | Apache-2.0 | MIT | | Categories | AI Agents | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentscope](/tools/agentscope-ai-agentscope.md) | [minds](/tools/mindsdb-minds.md) | | --- | --- | --- | | Days since push | 1d | 6d | | Open issues (now) | 254 | 3 | | Security scan | No criticals | No MCP manifest | | Full report | [trust report](/tools/agentscope-ai-agentscope/trust.md) | [trust report](/tools/mindsdb-minds/trust.md) | **Typed relationship:** agentscope _(alternative)_ minds Agentscope and MindsHub Cowork both focus on the development of agents that users can see, understand, and trust, indicating they are alternatives in the market. ## Decision facts: agentscope - **Requirements:** Min 4 GB RAM; Requires Docker; Requires Docker for workspace/backend support. - **Adopt for:** AgentScope is a production-ready agent framework designed for creating and managing intelligent agents, offering functionalities like an event system, permission control, multi-tenancy support, workspace/sandbox support, ## 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 agentscope if… - agentscope is primarily Python; minds is Makefile. - License: agentscope is Apache-2.0, minds is MIT. - Requirements: Min 4 GB RAM; Requires Docker; Requires Docker for workspace/backend support.. - Agentscope and MindsHub Cowork both focus on the development of agents that users can see, understand, and trust, indicating they are alternatives in the market. - Tags unique to agentscope: multi-agent, large-language-models, react-agent, llm-agent. - Use AgentScope when you need advanced features such as fine-grained permission systems to control tools and resources in detail. ### Choose minds if… - minds is primarily Makefile; agentscope is Python. - License: minds is MIT, agentscope is Apache-2.0. - Agentscope and MindsHub Cowork both focus on the development of agents that users can see, understand, and trust, indicating they are alternatives in the market. - 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 agentscope - Avoid using AgentScope if your project does not require fine-grained permission controls over tools and resources. - It might be unnecessary for projects that don't need seamless integration with a human-in-the-loop through its event system. - Not recommended for applications without the need for multi-tenancy or where session isolation is not critical to functionality. - If your application does not require isolated testing environments (like workspaces/sandboxes), AgentScope might introduce unnecessary complexity. ## 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 agentscope and minds? agentscope: Build and run agents you can see, understand and trust.. minds: Delegate anything. It comes back done.. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentscope over minds? Choose agentscope over minds when agentscope is primarily Python; minds is Makefile; License: agentscope is Apache-2.0, minds is MIT; Requirements: Min 4 GB RAM; Requires Docker; Requires Docker for workspace/backend support.; Agentscope and MindsHub Cowork both focus on the development of agents that users can see, understand, and trust, indicating they are alternatives in the market; Tags unique to agentscope: multi-agent, large-language-models, react-agent, llm-agent; Use AgentScope when you need advanced features such as fine-grained permission systems to control tools and resources in detail. ### When should I choose minds over agentscope? Choose minds over agentscope when minds is primarily Makefile; agentscope is Python; License: minds is MIT, agentscope is Apache-2.0; Agentscope and MindsHub Cowork both focus on the development of agents that users can see, understand, and trust, indicating they are alternatives in the market; 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 agentscope? Avoid using AgentScope if your project does not require fine-grained permission controls over tools and resources. It might be unnecessary for projects that don't need seamless integration with a human-in-the-loop through its event system. Not recommended for applications without the need for multi-tenancy or where session isolation is not critical to functionality. If your application does not require isolated testing environments (like workspaces/sandboxes), AgentScope might introduce unnecessary complexity. ### 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 agentscope or minds more popular on GitHub? minds has more GitHub stars (39,382 vs 27,575). Stars measure visibility, not whether either tool fits your constraints. ### Are agentscope and minds open source? Yes - both are open-source projects on GitHub (agentscope: Apache-2.0, minds: MIT). ### Where can I find alternatives to agentscope or minds? GraphCanon lists graph-backed alternatives at /tools/agentscope-ai-agentscope/alternatives and /tools/mindsdb-minds/alternatives (/tools/agentscope-ai-agentscope/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/agentscope-ai-agentscope-vs-mindsdb-minds.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentscope or minds? agentscope: 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 agentscope and minds? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentscope: /tools/agentscope-ai-agentscope/trust; minds: /tools/mindsdb-minds/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agentscope-ai-agentscope`](/api/graphcanon/graph?tool=agentscope-ai-agentscope) - 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/_