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2018-08-02

mindshub logo

mindshub

Not rated yet

39.5K GitHub stars

Type:

Tool

Platforms:

Github

Task:

Write contentConnect AI to appsManage databasesMonitor infrastructure

Best for:

MarketingIT & Development
Visit websiteView on GitHub

Pricing


Pricing information has not been added yet.

Overview

MindsHub Cowork is an open-source AI workspace for delegating multi-step knowledge work to AI models and agents. It is designed around complete projects rather than isolated chat responses, letting users ask agents to research, analyze, write reports, build applications, create dashboards, and run recurring operational tasks while collecting the resulting artifacts in one workspace.

The platform includes a model router for switching between proprietary and open models, support for interchangeable open-source agent harnesses, a secure data vault for connecting services such as databases and business applications, and tools for memory, reusable skills, and scheduling. Agent output can be turned into documents, code, dashboards, and web applications that can be published and shared.

MindsHub Cowork can run as a desktop or web application and can be deployed locally, in a private cloud, or through the hosted service. It is aimed at knowledge workers and teams that want agents to operate on connected business data while preserving flexibility over models, deployment, and agent implementations rather than committing to one closed AI workspace.

README

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:

  • Web — nothing to install. Open console.mindshub.ai and sign in.
  • macOS. Download the desktop app (.pkg).
  • Windows. Download the desktop app (.exe).
  • Linux. Build from source.

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 --recurse-submodules https://github.com/mindsdb/minds.git
cd minds

2. Install dependencies

make setup

3. Run

ModeCommand
Desktop app (Electron) with hot reloadmake dev or make watch
Web app in browser with hot reloadmake dev-web
Production buildmake build
Package for macOSmake dist-mac
Package for Windowsmake dist-win
Build macOS .app from local uncommitted sourcemake pack-local
Wipe all local installs + data (fresh start)make flush

Fresh start: make flush removes the local runtime (the cowork-server uv tool and the backend/*/.venvs) and deletes app state in ~/.anton (provider keys) and ~/.cowork (database, hermes, projects). Use it to test the from-scratch install flow or recover from a broken install. It prompts for confirmation — pass FORCE=1 to skip. The next make setup or app launch reinstalls everything. ⚠️ This deletes your conversations and saved keys.

Working on feature branches (submodules)

This repo is a superproject that pins each module (frontend, backend/core_api, backend/core_agent, backend/data-vault) to a commit. To work on module branches without polluting git status or fighting over pins:

1. Pick your branches in a gitignored dev.env (copy the template):

cp dev.env.example dev.env      # then set REF=feat/my-thing (or per-module API_REF=…)

2. make follows it — one knob, both run paths:

CommandWhat it does
make usecheck out your dev.env refs across all submodules
make dev / make watchrun the Electron app with live reload against local source
make dev-webrun the web SPA with live reload against local source
make server + make app(re)install the desktop server from the configured branch, then launch
make server-local + make app-localinstall the desktop server from local uncommitted source, then launch
make pack-localbuild the macOS .app from local uncommitted source (no push needed)
make refsshow which refs the next run will use
make baselinereset submodules to the pinned commits
make pinrecord the current submodule commits as the superproject's pins (one deliberate commit)

Submodules are configured with ignore = all, so your branch work never shows up as superproject changes — the parent git status stays clean. Pins move only via make pin. See CLAUDE.md for the full workflow.

Deploy anywhere

Cowork is built for flexible deployment — cloud, VPC, on-prem, air-gapped, and hybrid infrastructure — so you keep full control over your infrastructure, models, permissions, and data.

Help & support

  • Ask a question — join the Discord community.
  • Report a bug — open a GitHub issue with reproduction steps.
  • Read the docs — guides, setup, and the API at docs.mindshub.ai.
  • Enterprise SLAs or custom deployments — contact the team.

🤝 Contribute

Cowork is open source and contributions are welcome — code, integrations, docs, bug reports, and feature ideas. Read the docs to get set up, browse open issues, and say hi on Discord.

🔒 Security

Found a security vulnerability? Please don't open a public issue. Report it privately through our security policy.

📚 Resources

  • Documentation
  • Blog
  • Brand guidelines & press kit
  • Discord community

📄 License

This repository is released under the MIT License. Bundled components are governed by their own licenses — see each submodule's repository for details.

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