The open platform for running AI agents
San Francisco
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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: s.mdb.ai/3QktPP0
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mindshub retweeted
If you're building or running AI agents locally, what's your primary OS?
32%
Linux
50%
macOS
18%
Windows
56 votes • 2 days
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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.
s.mdb.ai/4420nkg
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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.
s.mdb.ai/4vG3oCS
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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: s.mdb.ai/3SgtDRA
#AIAgents #AgenticAI #RealEstate #Automation #FutureOfWork #MindsHub
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And if you're curious — this is the dashboard that helped this agent close ~$50K in commissions 😊 4nton.ai/view/74704407a/12ec…
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A prediction app for the World Cup? - ✅
Ask Anton - an open-source AI coworker 👉 mindshub.ai/agents/anton
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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.
s.mdb.ai/4xqcswK
#AIAgents #AgenticAI #Recruiting #Automation #FutureOfWork #MindsHub
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standup excuse generator :)
Make your's with Anton (github.com/mindsdb/anton)
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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.
s.mdb.ai/4ulBuL4
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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 👇
mindsdb.com/blog/a-practical…
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Anton Answers the Question Behind the Question!
Watch the full webinar with Andriy Burkov and Alejandro Cantu where they explore Anton!
Register here: mindsdb.com/events/webinar-m…
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MindsDB in Practice - Monthly Demo and Live Q&A nitter.app/i/broadcasts/1NGaranOz…
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Our Senior Front End Engineer showcases how he build a Chrome Extension - Anton Scraper v2.0- using Anton in minutes!🚀
From prompt → working extension.
mindsdb.com/blog/building-a-…
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📣 Webinar: Inside MindsDB Anton — Autonomous BI Agent 🚀
See inside Anton with @burkov :
• Multi-step query planning
• SQL generation on real data
• Explainable, traceable outputs
📅 April 15 | 🕙 10AM PT
Register: mindsdb.com/events/webinar-m…
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Come meet Anton — your autonomous business intelligence agent.
Join our live webinar with @burkov!
📅 April 15
🕙 10AM PT
No dashboards. No backlog. No waiting.
Ask a question → get analysis, insights, and actions instantly.
Register👇
mindsdb.com/events/webinar-m…
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