mindshub

The open platform for running AI agents

[mindshub @MindsHub]

Claude Opus 5 shipped today and took #1. But the top four models are now within 6% of each other. At that spread, price and speed decide, not rank. Updated comparison of 14 models:
https://t.co/pDHyXzqPfK
Opus 5 arrives in MindsHub Cowork on Monday.

[mindshub @MindsHub]

We just changed a handle to @MindsHub

[mindshub @MindsHub]

"Which AI model should I use?" changes its answer roughly weekly now.
So we maintain a living comparison of the 14 that matter - what each is actually good at, what it really costs, and which ones you can run yourself. Updated today: https://t.co/pZxfVSYt1q

[mindshub @MindsHub]

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 ;)
⭐ https://t.co/WiYb0b34nI
🌐 https://t.co/c5a7SlgRPp

[mindshub @MindsHub]

Great question! OpenCode is a coding agent, built for writing and editing code in your terminal/IDE. Cowork isn't a coding tool, it's a general task coworker: brief it on any task (research, a dashboard, a report, ops) and it delivers finished, shareable work. Different job entirely. Same open-source, no-lock-in philosophy as OpenCode, just applied to a broader category. 🙌

[Zoran Pandovski @ZoranPandovski]

If you're building or running AI agents locally, what's your primary OS?

[Adam Carrigan @AdamCarrigan]

Why the world needs an open-source Claude https://t.co/woZJWykBKA

[mindshub @MindsHub]

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.
https://t.co/nRH2KtnULX

[mindshub @MindsHub]

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.
https://t.co/oW4xHbGfuo

[mindshub @MindsHub]

And if you're curious — this is the dashboard that helped this agent close ~$50K in commissions 😊 https://t.co/Ij7z7q8MKd

[mindshub @MindsHub]

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:
- Price range
- Number of bedrooms
- Square footage
- Location radius

The data was there. The decisions weren't coming.
Because none of that answers the questions that actually matter when you're buying a home.

So we built an AI coworker that goes deeper.

For each property, it pulls and cross-references:
→ School district ratings and performance data
→ Quality of life indicators — parks, walkability, amenities
→ Neighborhood trends and safety data
→ Everything a family actually weighs before signing

Not just listings. Context.

The result?
Their client picked a home within 8 hours of seeing the artifact the agent created.

That's not a faster filter. That's a better decision.

That's where AI becomes valuable — not by surfacing more data, but by connecting the right data into something a person can actually act on.

And the best part?
This was designed and deployed live in a single Office Hours session, with no AI expertise required from the customer.

Every week we work with teams to automate real workflows like this, for free.

If there's a decision your clients are struggling to make, bring it to Office Hours. Let's build the artifact that makes it easy.

Book your session here: https://t.co/gZiSb1yNYJ

#AIAgents #AgenticAI #RealEstate #Automation #FutureOfWork #MindsHub

[mindshub @MindsHub]

A prediction app for the World Cup? - ✅
Ask Anton - an open-source AI coworker 👉 https://t.co/E25RLqlxYU

[mindshub @MindsHub]

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 hiring managers
- Pull contact information
- Write personalized outreach emails
- Send them from each candidate’s inbox
- Repeat for every candidate, every day

The process worked.

The problem was scale.

Every new candidate meant more manual work, which meant a hard limit on how many people the team could effectively represent.
So we built an AI coworker that handles the workflow end-to-end.

For each candidate, it:
→ Understands their target roles, industries, and companies
→ Finds relevant hiring managers in ZoomInfo
→ Organizes contact information
→ Generates personalized outreach emails using approved templates
→ Sends emails from the candidate’s own Gmail account
→ Runs daily outreach campaigns automatically

The recruiting team didn’t change.
The number of candidates they can support did.

That’s where AI becomes valuable—not by replacing people, but by removing the operational limits that keep teams from growing.

And the best part?

This was designed and deployed live in a single Office Hours session, with no AI expertise required from the customer.

Every week we work with teams to automate real workflows like this, for free.

If there’s a repetitive process slowing your team down, bring it to Office Hours and let’s build a solution together.

https://t.co/ugw7aa7btH

#AIAgents #AgenticAI #Recruiting #Automation #FutureOfWork #MindsHub

[Zoran Pandovski @ZoranPandovski]

We're looking for contributors and early users to try Anton

[mindshub @MindsHub]

standup excuse generator :)
Make your's with Anton (https://t.co/DjoyM7lmO2)

[mindshub @MindsHub]

@garrytan open-sourcing #GBrain is a gift to anyone building AI agents — perfect recall across 10,000+ docs, all MIT-licensed.
We made it 1-click to try on MindsHub 👉 https://t.co/54f4PERToP

[mindshub @MindsHub]

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 dashboard, a quarterly audit — and it gets things done, builds artifacts you can share and collaborate on. It learns and gets sharper with every task. Secure by design - isolated runtime, connection secrets are never exposed.
https://t.co/OKjuTku43Q

[mindshub @MindsHub]

MindsDB is now MindsHub — a home for open-source AI agents.
Same team, same open-source roots.
Same Minds, new shape. The story behind the change: https://t.co/p4LfIY1eIj

[mindshub @MindsHub]

https://t.co/jIobCmIpp9