MagiCrew is an open-source AI Agent platform that gives everyone their own AI workforce. Instead of simply chatting with AI, deploy specialized digital workers that research, analyze, create reports, generate presentations, and complete real business tasks. With multi-agent collaboration, enterprise controls, and deliverable-ready outputs, MagiCrew helps teams turn AI from a tool they use into a workforce they can manage.
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?
@olivia_bennett7 Totally hear you on that — the reformatting tax is real 😩 That's actually one of the core flows we designed for: you can go from deep research straight to a polished deck without ever leaving the workspace. One agent handles the research, another builds the slides, and they share context seamlessly. No more copy-pasting between tabs. Would love for you to try it and tell us how it feels!
@boyuan_deng1 Thanks Boyuan! 🎉 They absolutely build on each other's work — agents share a common workspace, files, and context, so the output from one becomes the input for the next. Think of it less like separate tools and more like a team working on the same project together. We're continuing to deepen how they collaborate, but even now the handoff is pretty seamless.
@abod_rehman Thanks Abdul, appreciate the kind words! 🙏 Great question — yes, agents share a unified workspace and memory system. So when one agent does research, another can pick up right where it left off to build a report or deck. Context carries over, no re-explaining needed. We're also building deeper cross-session memory so it gets smarter over time. Stay tuned!
@mercy_james3 Great question! Yes, absolutely — third-party integrations are very much on our roadmap. We're actively building a Connector framework right now to link up with tools like Slack, Notion, Google Drive, and more. It's not live just yet, but it's coming soon. The goal is to let your agents pull from and push to the tools you're already using, so everything stays in sync. Stay tuned — we'll share updates as we roll it out! 🔔
Report
Curious! How this actually handles replacing between agent types without it feeling awkward, that's normally where these tools fall apart for me.
@colton_drake Totally get that — clunky transitions are a dealbreaker. With us, you do switch between specialized agents, but the key difference is they all work in the same shared workspace. So when you move from a research agent to a slide-building agent, all the context, files, and progress are already there — no re-uploading, no re-explaining. It's like handing off a project to a teammate who's already been in the room the whole time. The switch is intentional, but the continuity makes it feel smooth. Give it a spin and let us know how it compares! 💪
MagiCrew
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?
Mom Clock
@enzy_magicrew the Costco of AI? Interesting.
honestly the thing I want most is research + deck creation in one flow, I waste so much time reformatting stuff between tools
MagiCrew
@olivia_bennett7 Totally hear you on that — the reformatting tax is real 😩 That's actually one of the core flows we designed for: you can go from deep research straight to a polished deck without ever leaving the workspace. One agent handles the research, another builds the slides, and they share context seamlessly. No more copy-pasting between tabs. Would love for you to try it and tell us how it feels!
Congrats @MagiCrew!
Does each agent learn from the others' work, or are they still working in their own lane right now?
MagiCrew
@boyuan_deng1 Thanks Boyuan! 🎉 They absolutely build on each other's work — agents share a common workspace, files, and context, so the output from one becomes the input for the next. Think of it less like separate tools and more like a team working on the same project together. We're continuing to deepen how they collaborate, but even now the handoff is pretty seamless.
Triforce Todos
Congrats on the launch, @enzy_magicrew
The costco comparison is such a different way to frame it 🙌
Quick question, does memory carry across agents, or is each one siloed for now?
MagiCrew
@abod_rehman Thanks Abdul, appreciate the kind words! 🙏 Great question — yes, agents share a unified workspace and memory system. So when one agent does research, another can pick up right where it left off to build a report or deck. Context carries over, no re-explaining needed. We're also building deeper cross-session memory so it gets smarter over time. Stay tuned!
FunBlocks MindMax
Congrats on this launch!
MagiCrew
@peng_wood 😊 thank you!
Do you have plans for connecting these agents directly with tools like Slack, Notion, or Google Drive?
MagiCrew
@mercy_james3 Great question! Yes, absolutely — third-party integrations are very much on our roadmap. We're actively building a Connector framework right now to link up with tools like Slack, Notion, Google Drive, and more. It's not live just yet, but it's coming soon. The goal is to let your agents pull from and push to the tools you're already using, so everything stays in sync. Stay tuned — we'll share updates as we roll it out! 🔔
Curious! How this actually handles replacing between agent types without it feeling awkward, that's normally where these tools fall apart for me.
MagiCrew
@colton_drake Totally get that — clunky transitions are a dealbreaker. With us, you do switch between specialized agents, but the key difference is they all work in the same shared workspace. So when you move from a research agent to a slide-building agent, all the context, files, and progress are already there — no re-uploading, no re-explaining. It's like handing off a project to a teammate who's already been in the room the whole time. The switch is intentional, but the continuity makes it feel smooth. Give it a spin and let us know how it compares! 💪