Similar companies
Companies similar to MindsHub
MindsHub, formerly MindsDB, is a Berkeley-based open-source workspace where AI agents complete knowledge work from plain-language briefs. These are the ten companies most like it — direct competitors included — with what each one actually does differently, and the stage, size and buyer you would meet on the way in.
10 companiesLast reviewed Every company checked as still trading and independent
At a glance
The profile these 10 companies share
- Sector
- AI agent platforms and open-source agent tooling
- Stage
- Venture-backed, $50M raised, last disclosed 2023
- Headcount
- 35-50
- Sells to
- Developers and AI teams, plus the ops and revenue teams who use what agents produce
- GTM motion
- Self-serve product-led growth on top of an open-source community
- HQ
- Berkeley, California
- Website
- mindshub.ai
This category splits by who the product is pointed at, and that split predicts almost everything about how a company sells. Framework companies sell to developers building agents, monetising through hosted runtimes and observability. Workspace companies sell to the knowledge worker directly, wrapping agents in an interface where a non-developer briefs a task and gets an artifact back. Orchestration companies sit between the two, automating recurring work for technical operators. MindsHub started as developer infrastructure under the MindsDB name and has moved toward the workspace end, which is why its peer set spans all three.
The list
10 companies similar to MindsHub
Dify
dify.aiSource-available platform for building agentic workflows and RAG pipelines, self-hostable or run in the cloud, from LangGenius.
- Early growth
- 50-150 people
- Sells to Developers and enterprise AI teams, self-hosted and self-serve first, plus large enterprise accounts
Why it matchesThe closest match to MindsHub's exact shape: an open-source-first agent workspace with a visual builder, model-agnostic routing and a strong self-host story, monetised through cloud and enterprise tiers. Both win adoption through GitHub rather than sales. The difference is that Dify targets builders assembling apps, where MindsHub targets knowledge workers delegating whole projects.
Dust
dust.ttMultiplayer AI agent workspace where teams build and share agents grounded in company knowledge and connected internal tools.
- Series B
- 100-180 people
- Sells to Knowledge-work teams and enterprise operations buyers, seat-based self-serve converting to enterprise
Why it matchesArguably the single closest product match: a shared workspace where agents connected to company data and tools do knowledge work, rather than a framework for developers. Both emphasise agents holding persistent context across a team, and both have open-source cores. Dust is enterprise-connector-led out of Paris, where MindsHub is model-router and artifact-output-led out of Berkeley.
LangChain
langchain.comAgent engineering company behind the open-source LangChain and LangGraph frameworks plus the LangSmith build and evaluation platform.
- Series B
- 200-400 people
- Sells to AI and platform engineers plus enterprise AI teams, developer-led adoption converting to enterprise contracts
Why it matchesThe canonical open-source-to-commercial agent company and MindsHub's most direct structural analogue: a very large open-source community funnelling into a hosted platform. LangChain sells to developers building agents, where MindsHub packages agents as finished knowledge work for end users. Anyone deciding where to build or run agents evaluates both.
Relevance AI
relevanceai.comPlatform for building and running teams of specialist AI agents that take on sales, marketing, support and operations work.
- Series B
- 80-150 people
- Sells to Sales, customer success, marketing, HR and operations leaders at mid-market and enterprise companies
Why it matchesSells the same end state as MindsHub — an AI workforce where agents complete real business tasks rather than answer questions — with multi-model routing and a large integration library behind a no-code canvas. The key difference is that Relevance is proprietary and templated by function, where MindsHub is open-source and general-purpose. Buyers wanting agents to own recurring work compare them directly.
CrewAI
crewai.comOpen-source multi-agent framework plus an enterprise build-and-runtime platform for deploying crews of collaborating AI agents.
- Series A
- 30-80 people
- Sells to Enterprise platform and automation teams, reached through open-source adoption inside large companies
Why it matchesThe same open-source-community-to-enterprise-runtime motion as MindsHub, aimed at the same outcome of agents doing the work. CrewAI's abstraction is a crew of role-playing agents that developers compose in Python, where MindsHub's is a workspace in which a non-developer writes a brief. Both compete for the enterprise agent runtime budget.
n8n
n8n.ioSource-available workflow automation and AI agent orchestration platform with hundreds of integrations, self-hosted or cloud.
- Series C
- 800-1200 people
- Sells to Technical teams in IT operations, security operations and DevOps, from startups through enterprise
Why it matchesn8n proved the fair-code playbook MindsHub is running: a source-available core, an enormous GitHub following, self-serve growth and then enterprise monetisation. Both now position around agents doing real operational work on a schedule with tool access. n8n stays closer to node-graph workflow building, where MindsHub abstracts up to a brief and a finished artifact.
Lindy
lindy.aiNo-code AI agent platform that builds assistants for email, calendar, meetings and back-office knowledge work.
- Series B
- 30-70 people
- Sells to Individual professionals and teams from SMB through enterprise, self-serve with an enterprise tier
Why it matchesBoth target the knowledge worker directly rather than the developer, letting a non-technical user stand up an agent that does recurring work end to end, and both run strong self-serve growth with published per-seat pricing. Lindy is proprietary and assistant-shaped around email and calendar, where MindsHub is open-source and project-shaped around research and reporting.
LlamaIndex
llamaindex.aiOpen-source framework and commercial cloud for building document-centric AI agents, with parsing and extraction over enterprise knowledge.
- Series A
- 80-130 people
- Sells to Developers and enterprise data and AI teams in finance, insurance, healthcare and manufacturing
Why it matchesBoth are open-source projects with commercial hosted layers, aimed at getting agents to do useful work over a company's own data. LlamaIndex has narrowed toward document parsing, extraction and knowledge agents, where MindsHub spans a broader knowledge-work workspace. Teams building agents that must read internal documents evaluate them side by side.
deepset
deepset.aiCompany behind the open-source Haystack framework, selling an enterprise platform for building and governing sovereign AI agents.
- Series B
- 60-120 people
- Sells to Enterprise, government, defence and regulated-industry AI teams, particularly in Europe
Why it matchesRuns the identical open-core model — Haystack free and modular, enterprise platform paid — for composing agent pipelines over private data. Its wedge is sovereignty, self-hosting and inspectable reasoning for regulated buyers, which overlaps MindsHub's open-source and swap-the-model pitch. It is enterprise-sales-led where MindsHub is product-led, so they meet mainly in self-host-or-cloud evaluations.
Letta
letta.comOpen-source agent runtime built on the MemGPT memory research, giving agents persistent memory and state across sessions.
- Seed
- 10-30 people
- Sells to Developers on a free and self-serve tier, plus enterprise engineering teams
Why it matchesBoth treat agent statefulness as a core product rather than a feature, giving agents cross-session memory so they accumulate context instead of restarting cold. Letta ships this as an open-source runtime that developers embed, where MindsHub wraps memory, credentials and scratchpads into an end-user workspace. Much smaller, but the closest technical peer on memory.
Method
Behind the list
Similarity starts with the product. Every company here sells something a MindsHub user would genuinely evaluate against MindsHub — an agent workspace, an agent framework or runtime, or agent-driven workflow automation — and direct competitors are included rather than avoided. Stage, headcount, buyer and go-to-market motion then sharpen the ranking, because two companies can build near-identical software and still sell to completely different people.
Every entry was checked for acquisition, shutdown and rebrand before publishing, and that check removed two candidates. Flowise was acquired by Workday in August 2025. Langflow is owned by DataStax, which IBM acquired, so it is now part of watsonx rather than an independent company. Both are still listed as standalone companies on other comparison pages.
This category is consolidating faster than almost any other in software, so treat the ordering as a snapshot. It is ranked by closeness of product fit rather than by size: Letta is a fraction of MindsHub’s headcount and n8n is twenty times it, but both belong here for different reasons.
A note on the numbers. Headcounts are approximate bands from third-party trackers, not company statements, and the trackers disagree sharply on several of these companies — the bands are widened to cover the spread rather than picking a favourite source. Dify’s reported funding comes from secondary sources rather than a primary announcement, so its stage is deliberately vague.
Using this list
Product-led companies are a specific kind of account to sell into, and this list rewards a bit of care. Work out which of them genuinely fit what you sell before you touch any of them — that is an ideal customer profile question. Then find the person inside each one who owns the problem, remembering that in a product-led company the engineer who adopts a tool is rarely the person who approves the spend. Finding an internal champion goes into how to tell those two apart.
Timing matters more here than in most categories, because these companies raise, ship and get acquired quickly. Buying signals covers what to watch for, and Streams is the part of Alfa that keeps a list like this current instead of letting it decay into a stale spreadsheet.
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How it works
How Alfa finds similar companies and their champions.
- 01
Name one company you have in mind.
Not a filter set. One real company. Alfa reads what it builds and sells, the problem it solves, who buys it and how it reaches them.
- 02
Alfa matches on the product first.
Companies selling the same or an adjacent product score highest, including direct competitors. Sector, stage, headcount, buyer and motion then sharpen the match so the list reflects real market position.
- 03
Champions come with every company.
Each match arrives with the people inside it most likely to advocate for you and the reason they may care now. The list refreshes as companies raise, hire, ship or shift motion.
Without Alfa vs. with Alfa
Building this list by hand vs. with Alfa.
By hand
- Piece the market together from listicles and outdated directories
- Hand-check product, headcount, funding and buyer for every candidate
- Rebuild the list from scratch when the segment shifts or a company is acquired
- Land on the company with no idea who inside it would care
With Alfa
- Name one company; Alfa returns the others that match it
- Product, stage, headcount, buyer and motion resolved for every candidate
- The list refreshes as companies enter, exit and consolidate
- Each company arrives with named champions and an angle to open with
FAQ
Questions about companies like MindsHub.
Are these MindsHub competitors or just similar companies?
Both. Dify, Dust, Relevance AI and Lindy compete with MindsHub most directly on the agent workspace itself. LangChain, LlamaIndex, CrewAI, deepset and Letta overlap at the framework and runtime layer that sits underneath. n8n comes at the same outcome from workflow automation rather than from agents.
Is MindsHub the same company as MindsDB?
Yes. MindsDB renamed its platform to MindsHub, and mindsdb.com now redirects to mindshub.ai. Same company, same team, same investors. Note that the unrelated MindsHub association at mindshub.it in Italy is a different organisation entirely, as is mindhub.com.
How does Alfa decide two companies are similar?
It starts with the product, then sharpens on sector, stage, headcount, buyer and motion. In this category that second step matters most: LangChain and Lindy both run agents, but one sells a framework to engineers and the other an assistant to knowledge workers, which makes them very different accounts despite similar technology.
Which companies were removed from this list, and why?
Two failed a status check. Flowise was acquired by Workday in August 2025. Langflow is not independent either, since it belongs to DataStax, which IBM acquired. Both still appear on other comparison pages as standalone companies, which is the most common error in lists of this kind.