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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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
- minds
- 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
agentscope trust report →minds trust report →AI Agents category →Data & Retrieval category →All comparisonsStack workflowsTrending tools
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.