AI should be something you own, not just something you rent.
Inspect it. Modify it. Fork it. Run it with your data, your tools, your way.
That's why we built MindsHub Cowork — an open-source AI coworker you can actually make your own.
Call it Claudio if you want ;)
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Benchmarks won't tell you which LLM to use. They'll tell you which one wins a test that isn't your job.
New guide: how to read the benchmarks, what actually matters (cost, speed, context, privacy), and when to self-host vs. use an API.
There's no "best" LLM in 2026 — only the best one for the job in front of you.
So we built the plain-English comparison we wanted: GPT, Claude, Gemini, DeepSeek, Qwen, Kimi, Grok & GLM. What each is actually good at, and what it costs.
Imagine giving a homebuyer everything they actually need to make a decision — in a single dashboard.
That's what we built during this week's MindsHub Office Hours.
A real estate agent came to us with a familiar problem.
Their clients had access to all the standard filters:
-
Imagine representing 10x more job seekers without hiring a single additional recruiter.
That’s what we built during this week’s MindsHub Office Hours.
A recruiting firm came to us with a workflow that looked like this:
- Search ZoomInfo for target companies
- Find the right
Close your laptop, and the agent running on it stops too. That's not a flaw in the agent — it's a flaw in where it lives.
Anton — the open-source AI coworker — runs on MindsHub: a one-click deploy, always-on open-source agent in the cloud.
Hand Anton an outcome — a report, a
Discover Anton — MindsDB’s open-source AI agent for conversational analytics.
This hands-on guide by @burkov shows how to install, connect data sources, and use Anton in practice.
Read here 👇
