mindsdb/minds
Make AI do actual work. Swap the model anytime — keep everything you've built.
What it solves
MindsHub Cowork is a unified workspace designed to move AI from simple chat to actual work. It allows users to delegate entire projects—such as research, analysis, reporting, and scheduled operations—and turn the resulting AI-generated output into shareable web applications, dashboards, and documents without needing engineering skills.
How it works
The platform acts as a "superproject" that integrates several core components:
- Connected Data: A secure vault that links to external systems like BigQuery, Postgres, Gmail, Drive, HubSpot, Notion, and Linear.
- Model Router: A system that allows users to switch between proprietary frontier models (e.g., Claude, GPT, Gemini) and open-source models (e.g., DeepSeek, Qwen, Kimi) seamlessly.
- Open Agents: It uses interchangeable open-source agent harnesses, such as Anton and Hermes, which can be swapped via a dropdown menu.
- Artifacts: A mechanism to convert agent outputs into live, publishable URLs for apps, code, and dashboards.
- Infrastructure: It supports flexible deployment across cloud, VPC, on-prem, or air-gapped environments.
Who it’s for
It is built for knowledge workers, including creators, strategists, and operators who need to automate repetitive multi-step workflows and build internal AI tools without writing code.
Highlights
- Model Agnostic: Swap models anytime while keeping the work you've built.
- Secure Data Vault: Connects to multiple data sources while keeping credentials scoped and hidden from agents.
- Publishable Artifacts: Turn AI outputs into live web applications and dashboards.
- Scheduling & Memory: Includes cross-session memory, a reusable skill library, and the ability to run tasks on a schedule.