Overview
MindsHub is an agent workspace for knowledge work and software development. Its pitch is model freedom: instead of being tied to one vendor's assistant, you pick which models and providers the agents run on — frontier models such as Claude, GPT and Gemini, or open ones such as DeepSeek, Qwen and Kimi — through a built-in model router that spares you wiring up a key per provider.
The workspace pairs those models with connected data and reusable output. A secure vault links systems like BigQuery, Postgres, Gmail, Drive, HubSpot, Notion and Linear, with credentials scoped per connection so agents never see raw keys. Agent output becomes artifacts — documents, dashboards, apps, analyses, code — which can be published to a live URL and shared. Cross-session memory, a reusable skill library and scheduled tasks let the same work run again without being re-explained.
The agents themselves are open and interchangeable: MindsHub ships open-source harnesses (Anton as the default, plus Hermes) that you swap from a dropdown. The GitHub repository is the platform superproject — it pulls together the desktop and web app, the agent backend and the data engine as submodules, so the whole stack can be built and run from source. It runs on your machine, in your VPC, on-prem or air-gapped, or through the hosted console; the hosted product has a free tier with a paid Pro plan.
What it does
- Model router across frontier and open models — Claude, GPT, Gemini, DeepSeek, Qwen, Kimi — without per-provider key wiring
- Interchangeable open-source agent harnesses (Anton and Hermes), swapped from a dropdown
- A credential vault connecting BigQuery, Postgres, Gmail, Drive, HubSpot, Notion and Linear, scoped per connection
- Artifacts: turn agent output into documents, dashboards, apps and code, publishable to a live URL
- Cross-session memory, a reusable skill library, and tasks that run on a schedule
- Runs as a macOS/Windows desktop app, a web app, or from source for cloud, VPC, on-prem and air-gapped deployment
Getting started
The fastest route is the hosted console or a desktop download; building from source is the path on Linux and for development. The commands below come from the repository README.
Try it without installing
Sign in at console.mindshub.ai for the web app, or download the macOS .pkg or Windows .exe desktop build from the README's links.
Clone the superproject
This repository pins the frontend, core API, agent backend and data vault as submodules, so clone recursively.
git clone --recurse-submodules https://github.com/mindsdb/minds.git
cd mindsInstall dependencies and run
make setup installs the stack. Then choose a run mode: make dev for the Electron desktop app with hot reload, make dev-web for the browser app, make build for a production build.
make setup
make dev # desktop app with hot reload
# or: make dev-web # web app in the browserReset a broken install
make flush removes the local runtime and deletes app state in ~/.anton (provider keys) and ~/.cowork (database, hermes, projects), then the next make setup reinstalls everything. It prompts for confirmation and it does delete your conversations and saved keys.
make flushCommands and code are distilled from the project's own documentation — always check the official repo for the latest.
When to use it
- Give a non-engineering team an agent workspace that builds reports, dashboards and internal tools they can publish and share
- Run agents against your own databases and SaaS systems without handing raw credentials to the model
- Keep an agent platform inside your VPC, on-prem or air-gapped while still using frontier models where allowed
- Compare agent harnesses and models on the same task by switching both from a dropdown
How MindsHub compares
MindsHub alongside other open-source assistants & chatbots tools AI/TLDR tracks, ranked by GitHub stars.
| Tool | Stars | What it does |
|---|---|---|
| OpenClaw | ★ 390k | OpenClaw is a self-hosted personal AI assistant that answers you on WhatsApp, Telegram, Slack, Discord, and many other channels, with voice and a live visual canvas. |
| Hermes Agent | ★ 246k | A self-improving personal AI agent from Nous Research that builds skills from experience, remembers across sessions, and reaches you on Telegram, Discord, Slack, and more. |
| Odysseus | ★ 87.3k | A self-hosted AI workspace that puts chat, agents, deep research, documents, email, notes, tasks and calendar behind one Docker Compose stack, over local or API models. |
| CowAgent | ★ 47k | A self-hosted assistant that plans and executes tasks with built-in file, terminal, browser and search tools, and answers across a web console plus a dozen messaging platforms. |
| AstrBot | ★ 40.6k | An all-in-one agent chatbot platform that puts LLM conversations, tools, knowledge bases and a plugin marketplace inside messaging apps like Telegram, Slack, Discord, QQ and Feishu. |
| OpenHuman | ★ 39.8k | A local-first desktop personal AI for macOS, Windows and Linux that keeps a compressed memory tree on your machine and orchestrates checkpointed research and automation workflows. |
| MindsHub | ★ 39.7k | An agent workspace with swappable open harnesses and your choice of model |
| Khoj | ★ 37.4k | An open-source, self-hostable personal AI that chats with any local or online LLM, answers from your own documents and the web, and runs custom agents. |