Crew44 — a crew of specialist AI agents in one local-first workspace. Each role on the model that wins its job, with memory and skills that compound. No account, free, open source.
Crew44 started as my own messy workaround for a problem I kept running into: I was using multiple AI coding agents every day — Claude Code, Codex, Gemini, Cursor — but they all felt like separate contractors who had never met each other.
Every session meant re-explaining the repo, copying context between tools, repeating project conventions, and manually deciding which agent should do what.
So I built Crew44: a local-first command center that turns the AI coding agents already installed on your machine into one coordinated crew.
You can create specialists like Cofounder, Engineer, Product Lead, Designer, or Reviewer, etc. bind each one to the runtime/model that fits the job, and let them work in a shared project workspace with memory, skills, and structured handoffs.
A few things I cared a lot about while building it:
* Local-first by default * No account, no subscription * MIT licensed * Works with the tools you already use instead of trying to replace them
The goal is not to build “one AI agent to rule them all.”, but to make the agents you already trust work more like a real team.
Crew44 is still early, and I’d genuinely love feedback from people who use multiple coding agents in their workflow. Try (and modify it) for free: https://github.com/getcrew44/crew44
Thanks for checking it out. I’ll be here answering questions 🙏
Local-first + open source is a strong combo for agent tooling. The 'model that wins its job' approach sounds like it could reduce token waste compared to monolithic agents. Would love to see how the memory compounding works in practice — does it persist across sessions?
Congrats on shipping 👍🏼 this is a real pain for me as well as a solo builder, having a bunch of agents going that share zero context with each other. The local-first, no-account setup is also nice to see!
One thing I'm wondering: can I bind roles to local LLMs? I run an OpenAI compatible server locally and would much rather send some agents to my own models than hosted ones.
the model-per-role approach is the right call. most teams default to one model for everything which is like hiring one person and expecting them to be good at architecture, testing, and docs. curious how the memory compounding works across sessions though — does each agent retain context from previous projects or start fresh?
The demo looks really promising. This honestly hits a pain I feel constantly as a solo builder. Also genuinely appreciate the local-first, MIT and no-account approach. In this space, that combination is rare, and it builds trust before I've even tried the product.
I'm planning to plug Crew44 into one of my current projects and will come back with honest feedback once I've used it on a real workflow.
Wishing you lots of momentum from here 🚀
About Crew44 on Product Hunt
“Turn coding agents into specialist teams”
Crew44 launched on Product Hunt on May 28th, 2026 and earned 100 upvotes and 10 comments, placing #18 on the daily leaderboard. Crew44 — a crew of specialist AI agents in one local-first workspace. Each role on the model that wins its job, with memory and skills that compound. No account, free, open source.
Crew44 was featured in Open Source (68.5k followers), Developer Tools (514k followers), Artificial Intelligence (471k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 207.8k products, making this a competitive space to launch in.
Who hunted Crew44?
Crew44 was hunted by Zander Forge. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Crew44 stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Zander Forge
Hey Product Hunt 👋
I’m Zander, maker of Crew44.
Crew44 started as my own messy workaround for a problem I kept running into: I was using multiple AI coding agents every day — Claude Code, Codex, Gemini, Cursor — but they all felt like separate contractors who had never met each other.
Every session meant re-explaining the repo, copying context between tools, repeating project conventions, and manually deciding which agent should do what.
So I built Crew44: a local-first command center that turns the AI coding agents already installed on your machine into one coordinated crew.
You can create specialists like Cofounder, Engineer, Product Lead, Designer, or Reviewer, etc. bind each one to the runtime/model that fits the job, and let them work in a shared project workspace with memory, skills, and structured handoffs.
A few things I cared a lot about while building it:
* Local-first by default
* No account, no subscription
* MIT licensed
* Works with the tools you already use instead of trying to replace them
The goal is not to build “one AI agent to rule them all.”, but to make the agents you already trust work more like a real team.
Crew44 is still early, and I’d genuinely love feedback from people who use multiple coding agents in their workflow. Try (and modify it) for free: https://github.com/getcrew44/crew44
Thanks for checking it out. I’ll be here answering questions 🙏