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mindsdb

mindshub

MindsDB's pivot: a unified 'Cowork' workspace where you delegate whole projects — apps, research, analysis, scheduled operations — to open-source models you can swap anytime.

39,441 6,225 Makefile MITupdated 6 days ago
Curator's take

The pitch is model-agnostic delegation: hand it a project, keep your artifacts and workflows when you swap the underlying model — a real answer to model-vendor lock-in anxiety. Read the star count honestly though: ~39k stars are inherited from this repo's previous life as the MindsDB database product; the Cowork workspace is a young pivot wearing an old repo's reputation. Expect open-core gravity (console, pricing links throughout) and a product still finding its shape. NOT a building block — it's a destination workspace; if you're composing your own stack, the frameworks here compose, this doesn't.

Mapped by ShipWithAI editors · links verified
README.md

MindsHub

The unified workspace where open-source models get things done for you.

Make AI do actual work. Swap the model anytime — keep everything you've built.

Release Stars License: MIT Python 3.10–3.13

Website · Docs · Web app · Pricing · Discord

Read this in: 中文 · Español · Português · हिन्दी

cowork

MindsHub Cowork is the unified workspace where you delegate entire projects — apps, websites, research, analysis, reporting, scheduled operations — and collect finished, shareable results. Connect your data, route work to any model (open or proprietary), run open-source agents, and turn their output into web applications you can publish. It's open source and runs anywhere — your machine, your VPC, or the hosted app.

This repository is the platform superproject: it pulls together the desktop/web app, the agent backend, and the data engine so you can build and run the whole stack from source.

Get started

Pick whichever fits:

Free to start. Pro adds all frontier models and private artifacts — see pricing.

What you can do

For every knowledge worker — creators, strategists, and operators:

  • Automate repetitive, multi-step work that involves reading and writing: reports, monitoring, recurring workflows, and scheduled operations.
  • Build internal AI tools and artifacts — apps, dashboards, decks, docs, analyses — without engineering, and publish them to a live URL to share with your team.

What's inside

  • Connected data. A secure vault links systems like BigQuery, Postgres, Gmail, Drive, HubSpot, Notion, and Linear. Credentials stay scoped per connection — agents never see raw keys.
  • Model Router. Switch between frontier models (Claude, GPT, Gemini) and open models (DeepSeek, Qwen, Kimi) without wiring up a key for each provider.
  • Open agents. Run interchangeable open-source harnesses — Anton (default) and Hermes — swappable from a dropdown.
  • Artifacts. Turn agent output into documents, dashboards, apps, and code, and publish to a live URL.
  • Memory, skills & scheduling. Cross-session memory, a reusable skill library, and tasks that run on a schedule.

Build from source

1. Clone the repository

git clone -

Continue your stack

What teams reach for next — and why each earns a place beside mindshub. Ranked by curator confidence.