Workflow automation
MindStudio
Combines visual agent workflows, custom functions, run evaluation and API deployment in a managed workspace.
Overview
Research summary
MindStudio is a visual environment for building, testing and deploying AI agents and workflows. Prompts, reusable blocks and custom JavaScript or Python functions combine model calls with application logic. Developers can inspect and evaluate runs, publish agents as web applications, or invoke them through an API and Node.js package. Workspace controls manage team access and usage. The hosted service supports multiple model providers and integrations without requiring users to operate the workflow infrastructure.
Repository summary
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services available
The provider offers paid products or services. Free options may also be available.
Commercial offering checked 2026-10-05.
Licence scope
Applies to the hosted service; SDKs, generated code, models and other separately licensed components have their own terms.
Implementation
Recorded implementation details and interfaces for MindStudio.
Implementation details
Hosted visual workflow builder, model routing and managed agent execution
- Languages
- Unknown
- Repository type
- none
Recorded interfaces and capabilities
Licence scope
Applies to the hosted service; SDKs, generated code, models and other separately licensed components have their own terms.
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
No GitHub repository is recorded for this entry.
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
Documentation
Recorded references and research provenance for this entry.
Recorded sources 5
- https://www.mindstudio.ai/ Project page · Research reference
- https://university.mindstudio.ai/ Documentation · Research reference
- https://www.mindstudio.ai/pricing Research reference · Commercial offering evidence
- https://www.mindstudio.ai/legal/terms-of-use Research reference
- https://community.mindstudio.ai/about Research reference
Research metadata
- Research date
- 2026-10-05
- Catalogue snapshot
- 2026-10-06
Community & social 4 channels
Video
- YouTubewww.youtube.com/channel/UCvv4fwj_uxsUZMx-Dq5W71AOfficial
Link details for YouTube
- Last checked
Communities
- Discoursecommunity.mindstudio.aiOfficial
Link details for Discourse
- Last checked
Social & updates
- Xx.com/mindstudioaiOfficial
Link details for X
- Last checked
- LinkedInwww.linkedin.com/company/mindstudioaiOfficial
Link details for LinkedIn
- Last checked