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Comparison

agentscope vs minds

agentscope (Build and run agents you can see, understand and trust.) vs minds (Delegate anything. It comes back done.) - live GitHub stats and typed graph relationships, not marketing.

Markdown twin · agentscope alternatives · minds alternatives

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agentscope

agentscope-ai/agentscope

28kpushed Jul 7, 2026
vs

minds

mindsdb/minds

39kpushed Jul 1, 2026

Tagline

agentscope
Build and run agents you can see, understand and trust.
minds
Delegate anything. It comes back done.

Stars

agentscope
28k
minds
39k

Forks

agentscope
3.1k
minds
6.2k

Open issues

agentscope
254
minds
3

Language

agentscope
Python
minds
Makefile

Adopt for

agentscope
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,
minds
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

agentscope
-
minds
-

Runtime

agentscope
-
minds
-

License

agentscope
Apache-2.0
minds
MIT

Last pushed

agentscope
Jul 7, 2026
minds
Jul 1, 2026

Categories

agentscope
AI Agents
minds
AI Agents, Data & Retrieval

Trust and health

Days since push

agentscope
1d
minds
6d

Open issues (now)

agentscope
254
minds
3

Security scan

agentscope
No criticals
minds
No MCP manifest

Full report

agentscope
Trust report

Typed relationship

agentscope alternative mindsAgentscope and MindsHub Cowork both focus on the development of agents that users can see, understand, and trust, indicating they are alternatives in the market.

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.

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.

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 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

Explore

Related comparisons

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.

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