MagiCrew 是一个开源 AI 智能体平台，通过多代理协作执行研究、分析和报告生成等任务，让团队拥有专属 AI 劳动力。
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PH 用户
Hi everyone, I'm Enzy, co-founder of MagiCrew.
I spent years as a journalist at the United Nations, then built and sold a company. Two very different experiences, same lesson: the bottleneck is almost never ideas. It's the gap between what people can think and what they can actually get done.
My co-founders and I met at business school. We'd each built things, broken things, and paid the full price for that gap. When AI became genuinely capable, we saw something we hadn't seen before — a real chance to close it. Not for enterprises with six-figure IT budgets. For everyone.
The moment that crystallized MagiCrew wasn't dramatic. It was a pattern.
People weren't struggling to find AI tools. They were struggling to finish anything with them. Every tool handed you something half-done. A draft that needed reformatting. An analysis that needed to become a deck. The output was always one step away from being useful.
The problem wasn't the tools. It was the missing layer above them — the one that understands what you're actually trying to accomplish, coordinates the right capabilities, and delivers something you can use.
We sometimes describe MagiCrew as the Costco of AI — not because it's cheap, because it's curated.
Costco doesn't carry everything. They find the best version of what you actually need, and that's all they stock. You don't comparison-shop. You trust the shelf.
That's what we do with agents. We went deep on each use case — research, data, presentations, meetings, social media, creative work — and built a genuine specialist for each. Not wrappers. Not prompt templates. Agents that know your projects, remember your context, and build on everything you've already done. The longer you work inside MagiCrew, the less you have to explain.
Every agent we ship has to answer one question: does this solve a genuine problem, or are we just building what's easy to demo?
The bigger mission is simple: the most powerful AI capabilities in the world shouldn't require six subscriptions and a technical degree to access. We want to take the best technology available, make it genuinely useful, and put it in the hands of anyone who needs it — at a price that actually makes sense.
That's AI for everyone. That's why we built MagiCrew.
We'd love to hear from you — what's the one workflow you wish AI could actually handle end-to-end?
PH 用户
Do you have plans for connecting these agents directly with tools like Slack, Notion, or Google Drive?
PH 用户
That alone could save so much time.
PH 用户
Interested in knowing about the context transfer process in MagiCrew. In case the research agent is completed and then taken up by the presentation agent, is there any stitching process involved here?
PH 用户
I am running a startup that consists of only two people, hence, “AI workforce” means simply a chatbot with added steps in the marketing material. The reason for my interest was that it used deliverable-ready material such as presentations. I am going to try out the tool with our next investor presentation.
I spent years as a journalist at the United Nations, then built and sold a company. Two very different experiences, same lesson: the bottleneck is almost never ideas. It's the gap between what people can think and what they can actually get done.
My co-founders and I met at business school. We'd each built things, broken things, and paid the full price for that gap. When AI became genuinely capable, we saw something we hadn't seen before — a real chance to close it. Not for enterprises with six-figure IT budgets. For everyone.
The moment that crystallized MagiCrew wasn't dramatic. It was a pattern.
People weren't struggling to find AI tools. They were struggling to finish anything with them. Every tool handed you something half-done. A draft that needed reformatting. An analysis that needed to become a deck. The output was always one step away from being useful.
The problem wasn't the tools. It was the missing layer above them — the one that understands what you're actually trying to accomplish, coordinates the right capabilities, and delivers something you can use.
We sometimes describe MagiCrew as the Costco of AI — not because it's cheap, because it's curated.
Costco doesn't carry everything. They find the best version of what you actually need, and that's all they stock. You don't comparison-shop. You trust the shelf.
That's what we do with agents. We went deep on each use case — research, data, presentations, meetings, social media, creative work — and built a genuine specialist for each. Not wrappers. Not prompt templates. Agents that know your projects, remember your context, and build on everything you've already done. The longer you work inside MagiCrew, the less you have to explain.
Every agent we ship has to answer one question: does this solve a genuine problem, or are we just building what's easy to demo?
The bigger mission is simple: the most powerful AI capabilities in the world shouldn't require six subscriptions and a technical degree to access. We want to take the best technology available, make it genuinely useful, and put it in the hands of anyone who needs it — at a price that actually makes sense.
That's AI for everyone. That's why we built MagiCrew.
We'd love to hear from you — what's the one workflow you wish AI could actually handle end-to-end?