# MindsHub by MindsDB

> MindsHub opens access to leading AI intelligence, giving people and developers the freedom to choose any model or provider.

## Core pages

### MindsHub
URL: https://mindshub.ai/

MindsHub is building an open foundation for how people access and apply AI intelligence. It gives people and developers the freedom to choose models and providers instead of being locked into one ecosystem. MindsHub Cowork helps people finish knowledge work with their chosen models and open-source agent harnesses. Unified Inference gives developers the same model freedom in their own agents and products through one API, one set of controls, and one bill. MindsHub is built by MindsDB, founded in Berkeley in 2018 and backed by Benchmark, Mayfield, Y Combinator, and NVIDIA.

Q: What is MindsHub Cowork?
A: Cowork is a workspace for delegating projects in plain language. Connect the data and tools it needs, then review and share the documents, dashboards, apps, or reports it produces.

Q: Which agents power Cowork?
A: Cowork runs on Anton by default and also supports Hermes. Both are open-source agent harnesses. You can switch the harness or model and keep your workspace, data, memory, and artifacts.

Q: Can I switch the agent or model?
A: Yes. The change currently applies across your work rather than to one task at a time. Switching does not remove your memory or artifacts.

Q: Do I need to pick a model or agent to start?
A: No. Cowork provides defaults, so you can create an account and start a task without choosing a model, harness, or API key first.

Q: Can I build apps and write code with Cowork?
A: Yes. Cowork can make internal tools, calculators, small web apps, landing pages, and scripts. Supported artifacts can be published to a URL for others to use.

Q: Why isn't a chat box enough for an AI agent?
A: A chat stores a conversation. Cowork also connects data, organizes work into projects, saves reusable context, and publishes results.

Q: How does Cowork connect to my data?
A: Connect databases, warehouses, and SaaS tools through the connectors directory. Secrets stay in a vault and are scoped to the connection; the agent does not receive the raw key.

Q: Is there a desktop or mobile app?
A: Cowork runs at cowork.mindshub.ai and as a desktop app for macOS and Windows. A native Linux build and mobile apps are planned.

Q: How do I get started?
A: Create an account in the browser or desktop app, then describe your first task. MindsHub Air includes monthly usage at no charge and does not require a card.

Q: How does Cowork relate to Unified Inference?
A: Unified Inference is the API for developers building their own products. Cowork is a ready-to-use workspace built on the same catalog. One account and balance cover both.

### Unified Inference
URL: https://mindshub.ai/unified-inference

Unified Inference is MindsHub's hosted API at api.mindshub.ai. It supports OpenAI Chat Completions and Anthropic Messages in production. The OpenAI Responses endpoint is still being upgraded, so the docs recommend Chat Completions for production use. OpenAI SDKs use https://api.mindshub.ai/v1 with api_key. Anthropic SDKs use https://api.mindshub.ai without /v1 and auth_token. Short aliases such as sonnet, gpt, and kimi follow model upgrades; GET /v1/models lists the current catalog for your organization. Billing is pay as you go from one prepaid balance. Accounts receive included monthly usage on mindshub_air by default. Input, output, cached input, and cache writes are metered separately. Unsupported or out-of-range parameters are reported in response headers when MindsHub drops or clamps them. The Foundry program gives selected teams product support, early access, and a 100% match on their first three months of inference-credit purchases, up to $5,000. Applications are open worldwide and selection is not guaranteed. Cowork uses the same catalog, account, and balance.

Q: Which API should I use?
A: Starting fresh, or already on OpenAI chat.completions? Use Chat Completions. Already using the Anthropic SDK or Claude Code? Use Messages. The Responses endpoint is mid-upgrade — the docs recommend Chat Completions for production use today.

Q: Which base URL and auth field do I use?
A: OpenAI SDKs use https://api.mindshub.ai/v1 with api_key. Anthropic SDKs use https://api.mindshub.ai without /v1 and must use auth_token — not api_key — so the client sends the Authorization: Bearer header.

Q: How does billing work?
A: Unified Inference is pay as you go with no subscription. An organization receives included monthly usage on mindshub_air by default; per-organization limits can differ. Everything else draws from one prepaid organization wallet. The rate card on the pricing page lists every per-model price.

Q: Does conversation chaining work?
A: No. Keep conversation history client-side and send the full history on each turn. Prompt caching makes repeated prefixes cheaper on most models; previous_response_id and store are accepted but not honored.

Q: How do aliases and availability work?
A: Use short aliases such as sonnet, gpt, and kimi. They follow model upgrades without code changes. GET /v1/models is authoritative for the live catalog and for whether each model is enabled for your organization.

Q: Can I bring my own provider key?
A: Not today. Bring-your-own-key is planned, not available. The current service uses one MindsHub key and one organization wallet.

Q: What is the MindsHub Foundry?
A: Selected teams work directly with the product team, test new features, and provide regular feedback. Members receive product support, early access, and a 100% match on their first three months of inference-credit purchases, up to $5,000. The program is open worldwide, places are limited, and selection is not guaranteed.

Q: How does this relate to MindsHub Cowork?
A: Unified Inference is the API for your own products. Cowork is a ready-to-use workspace built on the same model catalog. One account and balance cover both.

### Download
URL: https://mindshub.ai/download

MindsHub Cowork has desktop installers for macOS and Windows. It also runs in a browser at cowork.mindshub.ai, which works on Linux, mobile, and other platforms without an installer. A native Linux build and mobile apps are planned. Create a free account, sign in, and describe your first task. MindsHub Air includes monthly usage at no charge and does not require a provider API key.

### About
URL: https://mindshub.ai/about

Jorge Torres and Adam Carrigan released the first MindsDB code in Berkeley in 2018. Today, MindsHub works to make leading AI intelligence available without locking people into one model, provider, or closed platform. Cowork helps people complete knowledge work. Unified Inference helps developers add intelligence to their own products. Core agent technology is open source so people can inspect, adapt, and contribute to it. The company has more than 800 contributors, 39,000 GitHub stars, and more than $50 million in funding.

Q: What is MindsHub?
A: MindsHub gives people and developers access to leading AI models without locking them into one model or provider. Cowork helps people complete knowledge work, while Unified Inference helps developers add intelligence to their own products.

Q: Is MindsHub the same as MindsDB?
A: MindsHub is the product; MindsDB is the company behind it. In 2026 we renamed the agent platform from MindsDB to MindsHub, because the old name implied a database. Same company, same team, same mission — only the product name changed.

Q: Is MindsHub open source?
A: Core MindsHub technology is open source, including the Anton and Hermes agent harnesses used by Cowork. We believe people should be able to inspect, adapt, and contribute to the systems they rely on.

Q: Who is MindsHub for?
A: Cowork is for people doing research, analysis, reporting, internal tools, and other knowledge work. Unified Inference is for developers building AI intelligence into their own products.

Q: Who builds MindsHub?
A: MindsHub is built by MindsDB, founded in 2018 in Berkeley by Jorge Torres and Adam Carrigan. MindsDB is backed by Benchmark, Mayfield, Y Combinator, and NVIDIA, with a global open-source community of 800+ contributors.

### Use cases
URL: https://mindshub.ai/use-cases

Unified Inference lets engineering teams change models without rewriting an integration. Use a short model alias in an OpenAI- or Anthropic-compatible request. MindsHub reports any parameters it drops or clamps in response headers. Tools and agents that accept a base URL can use the same key. SetFree configures Claude Code, Codex, and VS Code for tools that otherwise hide those settings. One organization balance and usage view covers API and agent traffic. Teams can run the same evaluation set across several models, compare cost per task, and use prompt caching to reduce the price of repeated context. Failover is configured per model and published on the pricing page.

Q: Do I have to change code to switch models?
A: Usually not. Change the short model alias in the request. If MindsHub drops an unsupported parameter or clamps an out-of-range value, it names the change in the response headers.

Q: What happens if a model is unavailable?
A: Failover is set per model. The pricing page lists the fallback order where one exists; some models have no fallback.

Q: How do I point an agent at MindsHub?
A: Set its API key and base URL to MindsHub. For Claude Code, Codex, and VS Code, the open-source SetFree wrapper can set the required environment. Gemini CLI and Aider adapters are not yet available.

Q: Does conversation state live on your side?
A: No. Keep history in your application and send it with each turn. Most models support prompt caching for repeated prefixes. previous_response_id and store are accepted but not honored.

Q: Will my streaming and tool-calling code keep working?
A: Chat Completions and Messages keep their native streaming event formats. Tool calls, image input, and web search work where the selected model and request format support them.

Q: Can I bring my own provider key?
A: Not on the API today. Bring-your-own-key is planned, not available: Unified Inference uses one MindsHub key and one organization wallet. Cowork is the exception — the workspace lets you paste in provider keys and pay those providers directly.

### Consultation
URL: https://mindshub.ai/consultation

Book a free 30-minute working session with a MindsHub engineer. Use it to compare models on your evaluation set, review an integration, connect an agent, examine inference costs, or set up Cowork. Sessions are offered weekly and places are limited.

### Pricing
URL: https://mindshub.ai/pricing

MindsHub has no subscription plans or minimum spend. Accounts start with included monthly usage on MindsHub Air; the amount can vary by organization. All token types count toward it. Air is a changing alias with no web search or reasoning-effort control. To use other hosted models, add credits; usage is charged at the published per-model rate. You can also bring provider keys and pay those providers directly. The rate card lists input, output, cache, long-prompt, web-search, page-fetch, and failover pricing. Cowork and Unified Inference use the same balance and rates. Organizations with significant usage can ask about volume pricing.

Q: What does it cost to start?
A: Nothing. Accounts start with included monthly usage on MindsHub Air without a card. Input, output, cached reads, and cache writes all count toward it.

Q: How do I use a model other than MindsHub Air?
A: Add credits and pay the published per-model rate. You can top up manually or use auto-recharge with a monthly cap.

Q: Can I use my own provider API keys instead?
A: Yes. Add your provider keys and pay the provider directly.

Q: Is there a subscription or a minimum?
A: No. There is no subscription, monthly fee, or minimum spend. You pay only for hosted usage beyond the included monthly tokens, or use your own keys.

Q: What is MindsHub Air?
A: MindsHub Air is an alias that can move to a different model as the catalog changes. It carries the included monthly usage available to your organization. Air does not support web search or reasoning-effort controls.

Q: What happens after I use the included monthly tokens?
A: It refreshes at the start of the next month. Until then, add credits or use your own provider API key.

Q: Do Cowork and Unified Inference share this pricing?
A: Yes. Both use the same rate card and prepaid balance.

Q: Which models are available?
A: The catalog includes MindsHub Air, Claude, GPT, Gemini, Grok, Muse Spark, Kimi, DeepSeek, Qwen, and GLM families. Check the live rate card for current versions, prices, and failover order.

Q: Can I see what a task cost?
A: Yes. Your account shows usage, and the rate card lists each model price.

Q: How do I get support?
A: Ask the team and community in Discord, or submit a private support request at mindshub.ai/support for a specific issue.

Q: Can I pay with cryptocurrency?
A: Standard top-ups use a card. Volume customers can ask the team about settling invoices in cryptocurrency.

Q: How do models stay current?
A: Family aliases can move to newer model versions. The rate card shows the fallback order for each model that has one.

Q: What is MindsHub?
A: MindsHub includes Unified Inference, the API, and Cowork, the workspace. They share one model catalog and balance.

Q: Can I run MindsHub myself?
A: Yes. You can run the open-source project on your computer or in your VPC with your own endpoints and keys. This page prices the hosted service.

Q: Which open-source agents power MindsHub?
A: Cowork supports Anton and Hermes. Both are open-source agent harnesses, and switching does not remove your workspace data.

### Model rankings
URL: https://mindshub.ai/models

The model board covers models currently available through MindsHub. Each row shows an API alias and compares quality, time to first token, output speed, and measured cost per task. Quality and task cost use published Artificial Analysis measurements where available; estimated values are marked. The board also lists context length, input types, licensing, reasoning settings, and suggested uses. MindsHub Air has its own row. For cache rates, long-prompt tiers, web search, and failover pricing, use the rate card at mindshub.ai/pricing.

Q: Which model should I use?
A: Use the task recommendations on the board. Current picks include GPT 5.6 Sol or Claude Opus 5 for agentic coding, Claude Opus 5 for hard reasoning, Gemini Flash or GPT 5.6 Luna for interactive work, and Kimi K3 or DeepSeek V4 Pro when you need open weights. Start with MindsHub Air if you do not yet have a strong preference.

Q: Which models does this page cover?
A: Every model currently in the MindsHub catalog, and only those models. Each row includes the alias used to call it.

Q: Why rank on cost per task instead of price per token?
A: Models use different numbers of tokens and reasoning steps to finish the same task. Cost per task captures that difference. Use it to compare candidates, not as a forecast of your own bill.

Q: Where do these benchmark numbers come from?
A: Quality and task cost come from Artificial Analysis at each model's highest reasoning setting. A “≈” marks a MindsHub estimate. Coding scores and first-token latency are MindsHub assessments. Throughput uses Artificial Analysis medians where available, and prices come from the live MindsHub catalog.

Q: At what reasoning effort were these numbers measured?
A: Artificial Analysis figures use each model's highest setting. MindsHub often sends a lower default, shown when you expand a row, so actual cost may be lower. MindsHub does not publish its own per-setting scores.

Q: Does this page replace the pricing page?
A: No. The board shows input and output token prices for comparison. Use the pricing page for cache rates, long-prompt tiers, web search, failover order, and billing details.

### MindsHub vs MindsDB
URL: https://mindshub.ai/mindshub-vs-mindsdb

MindsDB began in 2018 as a way to run machine-learning models where data already lived. The product later added documents, vector search, knowledge bases, and federated queries. By 2025, the team was also building a workspace for agents that plan, use tools, run code, and produce files. In 2026, that broader product became MindsHub because the DB suffix no longer described it clearly. MindsDB remains the company. Its original query engine remains available on GitHub and is maintained by the community. The team did not change.

Q: Did the company change hands or pivot?
A: No. MindsHub is the product name; MindsDB remains the company behind it. The team and ownership did not change.

Q: Is the MindsDB query engine going away?
A: The original query engine remains available on GitHub and is maintained by the community. It is not one of the products MindsHub is building today.

Q: Do old mindsdb.com URLs still work?
A: Yes. Every path on mindsdb.com 301-redirects to the matching path on mindshub.ai. The redirect is in place indefinitely.

Q: What does this change for existing MindsDB users?
A: Nothing about your existing workloads needs to move. The open-source MindsDB project continues. If you want to delegate whole projects to open-source models and agents, that now lives under the new MindsHub surface.

Q: Why was the old name confusing?
A: The DB suffix fit the original database-centered product. It became misleading after the product added documents, vector search, model routing, and agent workflows.

### MindsDB Query Engine
URL: https://mindshub.ai/mindsdb-query-engine

The original MindsDB product is an open-source, self-hosted query engine. Register more than 200 databases, warehouses, SaaS apps, file stores, and vector databases, then query them through SQL. Knowledge Bases make documents and other unstructured sources queryable. Jobs and Triggers schedule updates or respond to data changes. The project remains available on GitHub and is maintained by the community. MindsHub now focuses on Cowork and Unified Inference.

Q: What is MindsDB Query Engine?
A: It is an open-source SQL query engine for more than 200 databases, warehouses, SaaS apps, document stores, and vector databases. It also provides Knowledge Bases, Jobs, and Triggers.

Q: Is MindsDB still maintained?
A: Yes. The community maintains the standalone project at github.com/mindsdb/engine.

Q: How is MindsDB different from MindsHub?
A: MindsDB is a self-hosted data engine that you configure and query with SQL. MindsHub provides a hosted model API and the Cowork workspace. They are separate products from the same team.

Q: How does the query engine compare to a traditional database?
A: MindsDB does not store the source data. It provides a SQL layer across systems you already run and uses each source's native protocol.

Q: How do AI agents use MindsDB?
A: Agents connect through SQL or the Model Context Protocol and query connected sources with SELECT statements. MindsDB sends each query to the appropriate source handler.

Q: How do Knowledge Bases work?
A: A CREATE statement defines the embedding model and metadata columns. MindsDB handles chunking, vectorization, storage, and updates. Query content semantically and filter it with structured metadata.

Q: Can I self-host MindsDB?
A: Yes. MindsDB runs on Linux, macOS, Windows, and Docker. The source is at github.com/mindsdb/engine.

Q: Which AI models does MindsDB support?
A: MindsDB is model-neutral. You can plug in Anthropic, OpenAI, Google, Hugging Face, or any self-hosted endpoint — both for embeddings inside Knowledge Bases and for LLM-backed queries. Switching providers is a configuration change, not a rewrite.

Q: Where can I find the documentation?
A: Docs are at mindsdb.github.io/engine. Source is at github.com/mindsdb/engine. For the hosted product, see mindshub.ai or read /mindshub-vs-mindsdb for the rebrand story.

### Press Kit
URL: https://mindshub.ai/press-kit

MindsHub believes the best available AI intelligence should be open to more people. It gives people and developers the freedom to choose among models and providers instead of being locked into one system. Cowork helps people complete knowledge work with open-source agent harnesses. Unified Inference helps developers build intelligence into their own products through one API. MindsHub is built by MindsDB, founded in Berkeley in 2018. Its original query engine remains on GitHub and is maintained by the community. The press kit includes SVG and PNG logos, color values, and typography guidance. Use Inter for headings and body copy, and JetBrains Mono for code and metadata. Write in plain, specific language and avoid hype. One-liner: “MindsHub opens access to leading AI intelligence, giving people and developers the freedom to choose any model or provider.” Boilerplate: “MindsHub is building an open foundation for how people access and apply AI. It gives people the freedom to choose models and providers without being locked into one ecosystem. MindsHub Cowork helps people complete tasks using the models they choose and open-source agent harnesses. Unified Inference gives developers that same freedom when building their own agents and products, with one set of controls and one bill. MindsHub is built by MindsDB, founded in Berkeley in 2018 and backed by Benchmark, Mayfield, Y Combinator, and NVIDIA.” Press inquiries: see the contact details on the press-kit page, or use the form at /contact.

### Careers
URL: https://mindshub.ai/careers

MindsDB is a remote-first team building MindsHub and open-source AI tools. Roles span engineering, product, design, marketing, and customer work. Benefits include unlimited PTO, health coverage or regional equivalents, mental-health support, wellbeing and development budgets, a home-office budget, company off-sites, and flexible schedules. Teams work asynchronously and write decisions down. Current openings are on the careers page.

### Support
URL: https://mindshub.ai/support

The MindsHub Discord at mindshub.ai/discord is open to everyone. Use it for questions, use-case advice, ideas, feature discussion, and anything open source. Use the private form at mindshub.ai/support when you need help with a specific issue or do not want to post the details publicly. Include what happened, what you expected, steps to reproduce it, the exact error, and the model and harness in use. Commercial customers can check the Support Policy for priorities and target response times. Send sales and partnership questions through /contact, and open-source bugs through github.com/mindsdb.

Q: What can I ask about in Discord?
A: Ask the team and community about setup, use cases, features, ideas, models, agent harnesses, connectors, and open-source work.

Q: How do I open a support ticket?
A: Submit the form at mindshub.ai/support when you need help with a specific issue or prefer not to post the details publicly.

Q: What should I include in a support ticket?
A: Say what happened, what you expected, who is affected, when it started, how to reproduce it, the exact error, and the model and agent harness in use.

Q: Is there a guaranteed response time?
A: Target response times and priority levels apply to customers with a commercial agreement and are set out in the Support Policy at mindshub.ai/support-policy.

### Contact
URL: https://mindshub.ai/contact

Use the contact form for demos, pricing, commercial support, partnerships, or general questions. MindsHub works remotely and keeps mailing addresses in San Jose and London. Use /support for product help, github.com/mindsdb for open-source work, and /careers for jobs.

## Blog

### LLM Cost per Task: Are Cheap Models Really Cheap?
URL: https://mindshub.ai/blog/llm-cost-per-task-vs-price-per-token — 2026-09-01
Are cheap LLMs actually cheaper? A three-times-lower token price often produces the same bill. How to compare models on cost per task, and measure your own.

### Your Work Should Outlive Any AI Agent
URL: https://mindshub.ai/blog/manus-alternative-ai-workspace-migration — 2026-09-01
A practical guide to preserving data, context, skills, automations, and artifacts when moving from Manus or another AI workspace.

### The Best LLMs in 2026: A Plain-English Comparison
URL: https://mindshub.ai/blog/navigating-the-llm-landscape-a-comparative-analysis-of-leading-large-language-models — 2026-09-01
A plain-English comparison of the best LLMs in 2026 - GPT, Claude, Gemini, Grok, GLM, DeepSeek, Qwen and Kimi - with current prices and what each is for.

### How to Choose an LLM: Benchmarks, Cost, and Setup
URL: https://mindshub.ai/blog/which-llm-to-choose-12-key-aspects-to-consider-when-building-ai-solutions — 2026-09-01
A practical 2026 guide to choosing the right LLM - how to read benchmarks, the trade-offs that actually matter, and when to self-host vs. use an API.

### MindsDB is now MindsHub: same Minds, new shape
URL: https://mindshub.ai/blog/mindsdb-is-now-mindshub — 2026-05-20
MindsDB is becoming MindsHub - a home for open-source AI agents. The story behind the rebrand, what's changing, and what stays exactly the same.

### Use AI to do ML
URL: https://mindshub.ai/blog/use-ai-to-do-ml — 2026-04-29
Vibe coding came for engineering. Vibe ML is coming for data work. Here's what it looks like when you ask an AI agent to train an XGBoost model - and it just…

### MindsDB Product Updates: April 2026
URL: https://mindshub.ai/blog/mindsdb-product-updates-april-2026 — 2026-04-28
April brought major updates across MindsDB Anton and Query Engine, from shareable reports and explainable answers to broader integrations and stronger SQL…

### A practical hands-on introduction to Anton 
URL: https://mindshub.ai/blog/a-practical-hands-on-introduction-to-anton — 2026-04-27
Learn how to install, configure, and use Anton - MindsDB’s open-source AI agent for conversational analytics that builds dashboards, runs SQL, and publishes…

### Introducing Anton: What Business Intelligence Is Supposed To Be
URL: https://mindshub.ai/blog/introducing-anton-what-business-intelligence-is-supposed-to-be — 2026-03-30
Business intelligence wasn’t meant to slow down decisions. Anton changes that by delivering real-time, trusted, and auditable insights to anyone on your team…

### Turning Claude Code into a Conversational Data Analyst with the Minds Plugin
URL: https://mindshub.ai/blog/turning-claude-code-into-a-conversational-data-analyst-with-the-minds-plugin — 2026-03-11
Build conversational analytics with the Minds Plugin for Claude Code and connect Claude to Postgres, Snowflake, and BigQuery using natural language queries.

### Introducing MindsDB v26.0.0 With Improved Agents and Knowledge Bases
URL: https://mindshub.ai/blog/introducing-mindsdb-v2600-with-improved-agents-and-knowledge-bases — 2026-02-26
Introducing MindsDB v26.0.0 - faster Knowledge Bases, smarter Agents, stronger integrations, and production-ready performance.

### MindsDB Product Updates - February 2026
URL: https://mindshub.ai/blog/mindsdb-product-updates-february-2026 — 2026-02-25
Stronger Knowledge Bases, improved integrations, enhanced SQL reliability, GUI performance boosts, and critical security upgrades across MindsDB.

### Building a Semantic Search Knowledge Base with MindsDB
URL: https://mindshub.ai/blog/building-a-semantic-search-knowledge-base-with-mindsdb — 2026-01-27
Learn how to build intent-based semantic search in MindsDB with Knowledge Bases, PGVector and FAISS

### MindsDB Product Updates - January 2026
URL: https://mindshub.ai/blog/mindsdb-product-updates---january-2026 — 2026-01-27
Explore the latest product updates, including Knowledge Base enhancements, FAISS and Snowflake support, faster vector search and improved SQL.

### Building AI-Powered Data Analytics with MindsDB: From Natural Language to Charts
URL: https://mindshub.ai/blog/building-ai-powered-data-analytics-with-mindsdb-from-natural-language-to-charts — 2026-01-15
Build an AI analytics system using MindsDB Minds to convert natural language into SQL, run queries automatically, and generate visual insights instantly.

### MindsDB in 2025: From SQL to the Universal AI Data Hub
URL: https://mindshub.ai/blog/mindsdb-in-2025-from-sql-to-the-universal-ai-data-hub — 2025-12-17
How 11 releases, 1,500+ PRs, and a unified architecture transformed MindsDB this year.

### Blend Hybrid Retrieval with Structured Data using MindsDB Knowledge Bases
URL: https://mindshub.ai/blog/blend-hybrid-retrieval-with-structured-data-using-mindsdb-knowledge-bases — 2025-11-26
Customize your pipeline, query structured data with citations, debug clearly, and deploy semantic + SQL search - no vector stores or ML ops needed.

### How to Build Semantic AI Search by Andriy Burkov
URL: https://mindshub.ai/blog/fast-track-knowledge-bases-how-to-build-semantic-ai-search-by-andriy-burkov — 2025-10-16
Learn how to fast-track semantic AI search with MindsDB Knowledge Bases - step-by-step techniques by Andriy Burkov.

### Best Practices for Evaluations (Evals) for AI Solutions
URL: https://mindshub.ai/blog/best-practices-for-evaluations-evals-for-ai-solutions — 2025-07-22
Discover why evaluations are key to building trust, improving accuracy, and guiding the success of your AI projects.

### Beyond Vector Search: Why MindsDB Knowledge Bases Matter for Complete RAG Solutions
URL: https://mindshub.ai/blog/beyond-vector-search-why-mindsdb-knowledge-bases-matter-for-complete-rag-solutions — 2025-04-29
Go beyond vector search - see how MindsDB Knowledge Bases power complete RAG solutions with reranking, data sync, and scalable retrieval.

### Beyond Keywords: Introducing MindsDB Knowledge Bases for RAG and Semantic Search
URL: https://mindshub.ai/blog/beyond-keywords-introducing-mindsdb-knowledge-bases-for-rag-and-semantic-search — 2025-04-22
Make Your Enterprise Data Responsive and Ready for AI with MindsDB Knowledge Bases

### Unlocking the Power of Data with MindsDB's Federated Query Engine
URL: https://mindshub.ai/blog/unlocking-the-power-of-data-with-mindsdb-s-federated-query-engine — 2025-04-10
MindsDB's Federated Query Engine empowers advanced AI applications and agents to harness the power of data

### MindsDB Now Supports Model Context Protocol: The Unified AI Data Hub Your Enterprise Needs
URL: https://mindshub.ai/blog/mindsdb-now-supports-model-context-protocol-the-unified-ai-data-hub-your-enterprise-needs — 2025-03-31
MindsDB releases support for Model Context Protocol (MCP server) that unifies AI Data for your Enterprise

### Transforming Unstructured Data into Structured Using AI
URL: https://mindshub.ai/blog/transforming-unstructured-data-into-structured-using-ai — 2024-11-22
This guide provides a straightforward, step-by-step method for transforming large amounts of unstructured data into structured formats using just a few SQL

### Mind Your Manners: How Politeness Can Make AI Smarter
URL: https://mindshub.ai/blog/mind-your-manners-how-politeness-can-make-ai-smarter — 2024-11-13
Being polite to AI can improve response quality, clarity, and even reduce bias. Overdoing it might get verbose answers. Learn more about this in recent…

## Newsroom

### MindsDB Launches MindsDB Anton - an Autonomous, Open-Source BI Agent That Turns Urgent Questions Into Immediate, Defensible Answers.
URL: https://mindshub.ai/newsroom/mindsdb-launches-anton-an-autonomous-open-source-bi-agent — 2026-04-02
Anton keeps security, oversight, and corporate governance front and center.

### Snapshot and MindsDB Announce Strategic Partnership to Deliver AI-Powered Solutions for the NetSuite Ecosystem
URL: https://mindshub.ai/newsroom/snapshot-and-mindsdb-announce-strategic-partnership-to-deliver-ai-powered-solutions-for-the-netsuite-ecosystem — 2026-03-19
Snapshot, a leading NetSuite technology consulting firm based in Detroit, Michigan and active NetSuite ecosystem partner, and MindsDB, the San Francisco-based…

### aiComply Announces Strategic Engagement with MindsDB and NavigateCyber to Accelerate Federal ATO Readiness
URL: https://mindshub.ai/newsroom/aicomply-announces-strategic-engagement-with-mindsdb-and-navigatecyber — 2025-11-12
aiComply Announces Strategic Engagement with MindsDB and NavigateCyber.

### Intelligent Protection Management Corp. Enters Into AI Reseller Agreement with MindsDB
URL: https://mindshub.ai/newsroom/intelligent-protection-management-corp-enters-into-ai-reseller-agreement-with-mindsdb — 2025-09-18
MindsDB to provide AI platform to IPM current and future customers.

### MindsDB Launches Open-Source AI Interface for Databases and Documents
URL: https://mindshub.ai/newsroom/chat-with-your-data-mindsdb-launches-open-source-ai-interface-for-databases-and-documents — 2025-05-30
MindsDB’s new AI interface enables natural language conversations with enterprise datasets—unifying structured databases and unstructured knowledge with…

### MindsDB Brings Federated Data Access to Model Context Protocol, Unleashing AI Innovation and Reducing Data Sprawl
URL: https://mindshub.ai/newsroom/mindsdb-brings-federated-data-access-to-model-context-protocol — 2025-04-03
MindsDB just elevated MCP by bringing in federated data access capabilities. Developers can now effortlessly run unified queries across diverse data sources…

### MindsDB Launches Conversational Enterprise-ready AI That Shows You How It Thinks
URL: https://mindshub.ai/newsroom/mindsdb-launches-conversational-enterprise-ready-ai-that-shows-you-how-it-thinks — 2024-09-24
MindsDB today announced the launch of Minds, a turnkey, private conversational AI designed to reason and orchestrate across real-time and historical…

### MindsDB was recognized by Fast Company as one of the Most Innovative AI companies in 2024
URL: https://mindshub.ai/newsroom/mindsdb-was-recognized-by-fast-company-as-one-of-the-most-innovative-ai-companies-in-2024 — 2024-03-19
Fast Company's "Most Innovative Companies" is an annual ranking that celebrates organizations at the forefront of innovation across various industries. This…

### MindsDB Announces San Francisco AI Collective: A Network for Open-source Machine Learning and AI Projects
URL: https://mindshub.ai/newsroom/mindsdb-announces-san-francisco-ai-collective-a-network-for-open-source-machine-learning-and-ai-projects — 2023-09-27
The unique space located in the Mission district of San Francisco welcomes developers, AI researchers and anyone interested in learning more about AI and ML…

### MindsDB Secures Funding from NVIDIA to Make AI More Accessible to All Businesses
URL: https://mindshub.ai/newsroom/mindsdb-secures-funding-from-nvidia-to-make-ai-more-accessible-to-all-businesses — 2023-08-08
Joining Benchmark and Mayfield, the additional investment brings total seed funding raised to $46.5M to fuel the democratization of AI application development

### CB Insights names MindsDB as one of the most promising private AI companies in the world
URL: https://mindshub.ai/newsroom/cb-insights-names-mindsdb-as-one-of-the-most-promising-private-ai-companies-in-the-world — 2023-06-22
CB Insights names MindsDB as one of the most promising private AI companies in the world

### 6 years ago, AI startup MindsDB was an open source project that few took seriously. Now it's worth $160 million and on a growth rocketship.
URL: https://mindshub.ai/newsroom/6-years-ago-ai-startup-mindsdb-was-an-open-source-project-that-few-took-seriously-now-its-worth-160-million-and-on-a-growth-rocketship — 2023-06-15
MindsDB cofounder and CEO Jorge Torres has been an artificial-intelligence evangelist for most of his career and believes in the power of the technology for…

### MindsDB Raises $25 Million led by Mayfield to Supercharge Developers with its Cloud for Serving Artificial Intelligence Logic
URL: https://mindshub.ai/newsroom/mindsdb-raises-25-million-led-by-mayfield-to-supercharge-developers-with-its-cloud-for-serving-artificial-intelligence-logic — 2023-06-01
Companies that want to quickly launch AI applications use MindsDB to connect virtually any data source to leading AI models — all without needing traditional…

### MindsDB and Nixtla Team Up to Enhance Artificial Intelligence Time-Series Forecasting
URL: https://mindshub.ai/newsroom/mindsdb-and-nixtla-team-up-to-enhance-artificial-intelligence-time-series-forecasting — 2023-05-10
MindsDB turns a team of 1,000 developers into 1,000 AI developers with little to no training.

### MindsDB Raises $16.5M from Benchmark to put machine learning into more applications
URL: https://mindshub.ai/newsroom/mindsdb-raises-16-5m-from-benchmark-to-put-machine-learning-into-more-applications — 2023-02-07
MindsDB, the most widely used open-source applied machine learning platform in the world, today announced a $16.5M investment from Benchmark.

### MindsDB Named in the 2022 Gartner® Cool Vendor™ in Data-Centric AI report
URL: https://mindshub.ai/newsroom/2022-gartner-cool-vendor-data-centric-ai-report — 2023-01-17
MindsDB, the fastest-growing open-source applied machine learning platform in the world, has been named a 2022 Gartner Cool Vendor. This report focuses on…

### MindsDB is now the leading and fastest growing applied ML platform in the world
URL: https://mindshub.ai/newsroom/mindsdb-now-the-leading-and-fastest-growing-applied-ml-platform-in-the-world-announces-over-70-data-integrations — 2022-11-03
Confirming the company’s growth trajectory, MindsDB announced that it now has more than 70 technology and data integrations with many of the world’s leading…

### [Infoworld about MindsDB] 13 open source projects transforming AI and machine learning
URL: https://mindshub.ai/newsroom/mindsdb-in-infoworld-13-open-source-projects-transforming-ai-and-machine-learning — 2022-09-27
Infoworld envisions MindsDB, Pytorch, Tensorflow, and another 10 great AI open-source projects to transform the world of AI!

### [insight.tech] Machine Learning Simplified: With MindsDB
URL: https://mindshub.ai/newsroom/insight-tech-machine-learning-simplified-with-mindsdb — 2022-09-15
[insight.tech] Machine Learning Simplified: With MindsDB

### Gartner names MindsDB in multiple reports
URL: https://mindshub.ai/newsroom/gartner-names-mindsdb-in-multiple-reports — 2022-08-31
MindsDB was highlighted by Gartner not 1, 2, 3 but 4 reports that help Enterprise data and analytics leaders

### MindsDB is among top eight most innovative AI and machine learning companies by TechRepublic
URL: https://mindshub.ai/newsroom/8-most-innovative-ai-and-machine-learning-companies — 2022-07-20
MindsDB is among top eight most innovative AI and machine learning companies by TechRepublic

### MariaDB and MindsDB Raise the IQ for Cloud Databases
URL: https://mindshub.ai/newsroom/mariadb-and-mindsdb-raise-the-iq-for-cloud-databases — 2022-05-31
NEWS RELEASE

### QuestDB and MindsDB Partner to Advance Machine Learning Predictions
URL: https://mindshub.ai/newsroom/questdb-and-mindsdb-partner-to-advance-machine-learning-predictions — 2022-05-24
NEWS RELEASE:

### MindsDB wants to give enterprise databases a brain
URL: https://mindshub.ai/newsroom/mindsdb-wants-to-give-enterprise-databases-a-brain — 2021-11-09
MindsDB wants to give enterprise databases a brain

### Walden Catalyst launches a $550M fund to invest in deep tech startups
URL: https://mindshub.ai/newsroom/walden-catalyst-launches-a-550m-fund-to-invest-in-deep-tech-startups — 2021-11-09
Walden Catalyst launches a $550M fund to invest in deep tech startups

### Press Release: ML Startup MindsDB Announces $7.6M Total Seed Funding
URL: https://mindshub.ai/newsroom/press-release-mindsdb-announces-7-6m-total-seed-funding-partners-with-snowflake-singlestore-datastax — 2021-11-01
San Francisco, CA - November 1, 2021

### VentureBeat: How do databases support AI algorithms?
URL: https://mindshub.ai/newsroom/venturebeat-how-do-databases-support-ai-algorithms — 2021-10-04
VentureBeat: How do databases support AI algorithms?

### Tech Chrunch:How we dodged risks and raised millions for our open-source machine learning startup
URL: https://mindshub.ai/newsroom/tech-chrunchhow-we-dodged-risks-and-raised-millions-for-our-open-source-machine-learning-startup — 2021-08-18
Tech Chrunch:How we dodged risks and raised millions for our open-source machine learning startup

### insideBIGDATA: Democratizing Machine Learning to Empower the Modern Business
URL: https://mindshub.ai/newsroom/insidebigdata-democratizing-machine-learning-to-empower-the-modern-business — 2021-05-18
insideBIGDATA: Democratizing Machine Learning to Empower the Modern Business

### MindsDB Named to Forbes AI 50 List of America’s Most Promising Artificial Intelligence Companies
URL: https://mindshub.ai/newsroom/mindsdb-named-to-forbes-ai-50-list-of-americas-most-promising-artificial-intelligence-companies — 2021-04-27
MindsDB Named to Forbes AI 50 List of America’s Most Promising Artificial Intelligence Companies

### tdwi.org: Advice for Automating Machine Learning and Predictive Analytics
URL: https://mindshub.ai/newsroom/tdwi-org-advice-for-automating-machine-learning-and-predictive-analytics — 2021-04-05
tdwi.org: Advice for Automating Machine Learning and Predictive Analytics

### UpTechReport Video Interview w/ Jorge Torres & Adam Carrigan
URL: https://mindshub.ai/newsroom/uptechreport-video-interview-w-jorge-torres-adam-carrigan — 2021-02-15
UpTechReport Video Interview w/ Jorge Torres & Adam Carrigan

### UptechReport: Easy Machine Learning | Jorge Torres and Adam Carrigan from MindsDB
URL: https://mindshub.ai/newsroom/uptechreport-easy-machine-learning-jorge-torres-and-adam-carrigan-from-mindsdb — 2021-02-12
UptechReport: Easy Machine Learning Jorge Torres and Adam Carrigan from MindsDB

### Dataversity interview of MindsDB Co-Founders on machine learning democratization
URL: https://mindshub.ai/newsroom/dataversity-interview-of-mindsdb-co-founders-on-machine-learning-democratization — 2021-01-11
Dataversity interview of MindsDB Co-Founders on machine learning democratization

### OpenSourceforu: MindsDB Announces integrations With Open Source Relational Databases PostgreSQL And MySQL
URL: https://mindshub.ai/newsroom/opensourceforu-mindsdb-announces-integrations-with-open-source-relational-databases-postgresql-and-mysql — 2020-10-21
OpenSourceforu: MindsDB Announces integrations With Open Source Relational Databases PostgreSQL And MySQL

### Machine Learning Capabilities Come to the Majority of Open Source Databases with MindsDB AI-Tables
URL: https://mindshub.ai/newsroom/machine-learning-capabilities-come-to-the-majority-of-open-source-databases-with-mindsdb-ai-tables — 2020-10-20
Berkeley, CA — October 20, 2020 — MindsDB, the open source AI layer for existing databases, today announced official integrations with open source relational…

### ODSC: Predictive AI Layers for Databases
URL: https://mindshub.ai/newsroom/odsc-predictive-ai-layers-for-databases — 2020-10-19
ODSC: Predictive AI Layers for Databases

### Machine Learning Comes to MariaDB Open Source Database with MindsDB Integration
URL: https://mindshub.ai/newsroom/machine-learning-comes-to-mariadb-open-source-database-with-mindsdb-integration — 2020-10-12
BERKELEY, CALIF. (PRWEB) OCTOBER 12, 2020

### Cognilytica - AI Today Podcast: Insights into AutoML – Interview with Jorge Torres, Founder and CEO at MindsDB
URL: https://mindshub.ai/newsroom/cognilytica-ai-today-podcast-insights-into-automl-interview-with-jorge-torres-founder-and-ceo-at-mindsdb — 2020-06-10
Cognilytica - AI Today Podcast: Insights into AutoML – Interview with Jorge Torres, Founder and CEO at MindsDB

### Blog OpenOcean: Backing MindsDB — Automated Machine Learning for the Software Developer.
URL: https://mindshub.ai/newsroom/blog-openocean-backing-mindsdb-automated-machine-learning-for-the-software-developer — 2020-04-27
Blog OpenOcean: Backing MindsDB — Automated Machine Learning for the Software Developer.

### Datanami: MindsDB, AutoML Startup, Gains Seed Funding
URL: https://mindshub.ai/newsroom/datanami-mindsdb-automl-startup-gains-seed-funding — 2020-04-20
Datanami: MindsDB, AutoML Startup, Gains Seed Funding

### FINSMES: MindsDB Raises $3M in Funding
URL: https://mindshub.ai/newsroom/finsmes-mindsdb-raises-3m-in-funding — 2020-04-19
FINSMES: MindsDB Raises $3M in Funding

### Linux.com: MindsDB raises $3 million for open source automated machine learning
URL: https://mindshub.ai/newsroom/linux-com-mindsdb-raises-3-million-for-open-source-automated-machine-learning — 2020-04-16
Linux.com: MindsDB raises $3 million for open source automated machine learning

### VentureBeat: MindsDB raises $3 million for open source automated machine learning
URL: https://mindshub.ai/newsroom/venturebeat-mindsdb-raises-3-million-for-open-source-automated-machine-learning — 2020-04-16
VentureBeat: MindsDB raises $3 million for open source automated machine learning

### PythonPodcast: Open Source Automated Machine Learning With MindsDB - Episode 218
URL: https://mindshub.ai/newsroom/pythonpodcast-open-source-automated-machine-learning-with-mindsdb-episode-218 — 2019-07-01
PythonPodcast: Open Source Automated Machine Learning With MindsDB - Episode 218

## Events

### Inside MindsDB Anton — Autonomous Business Intelligence Agent
URL: https://mindshub.ai/events/webinar-meet-mindsdb-anton-autonomous-business-intelligence-agent — 2026-04-15
Meet Anton: an open-source autonomous BI agent that doesn't just answer — it finds, suggests, and acts. Live demo plus Q&A with the creators and Andriy Burkov.

### From Question to Chart in Seconds: Conversational Analytics with your Salesforce and Hubspot CRMs
URL: https://mindshub.ai/events/from-question-to-chart-conversational-analytics-with-salesforce-and-hubspot-crm — 2026-02-25
Hands-on masterclass led by elite RevOps & AI strategists. Conversational analytics over live enterprise data — no ETL, no exports, no data duplication.

### AI Knowledge Bases at Scale: Discovering Key Analytics Insights in Massive Data Archives
URL: https://mindshub.ai/events/webinar-ai-knowledge-bases-at-scale — 2026-01-21
Hands-on webinar with Andriy Burkov. See how to build a production-grade Knowledge Base on a multi-million-article dataset and wire up an agent that generates…

### Unlocking Real-Time Data Access for In-house AI
URL: https://mindshub.ai/events/unlocking-real-time-data-access-for-in-house-ai — 2025-10-22
Hands-on webinar on running AI where the data lives — federated, real-time, no ETL — with MindsDB Open Source.

### Ask Your Data Anything — Enterprise AI Analytics with Minds
URL: https://mindshub.ai/events/webinar-enterprise-ai-analytics-with-minds — 2025-09-17
Hands-on webinar with Andriy Burkov and David Fraser. Build enterprise AI analytics that answer in plain language across all your data — accurately,…

### Building Multi-Agent AI Systems for Enterprise Data with Google's A2A Protocol
URL: https://mindshub.ai/events/webinar-multi-agent-ai-systems-with-google-a2a — 2025-08-20
Live-recorded webinar co-hosted by MindsDB and Google. Combine Google's open-source Agent2Agent (A2A) protocol with MindsDB to access enterprise data across…

### How to Blend Hybrid Retrieval with Structured Data
URL: https://mindshub.ai/events/webinar-deep-dive-knowledge-bases — 2025-07-16
Deep dive on production-grade Knowledge Bases: tailor chunking, ranking, and hybrid retrieval, then query relational tables the same way you query text.

### Fast-Track Knowledge Bases: How to Build Semantic AI Search
URL: https://mindshub.ai/events/webinar-fast-track-knowledge-bases — 2025-06-18
Ship semantic search in minutes with MindsDB Knowledge Bases. One SQL command — auto-chunking, embeddings, hybrid retrieval, reranking, citations.

### How to Unlock AI Search on Private Data Stores
URL: https://mindshub.ai/events/webinar-unlock-ai-search-registration — 2025-04-04
Webinar with NVIDIA and MindsDB. Connect diverse data sources, unify structured and unstructured data, and run AI search on NVIDIA's computational…