WeMachines vs Basecamp

Basecamp and WeMachines agree on more than most pairs in these comparisons: calm over chaos, opinions over settings, everything in the open. Basecamp has argued that case for two decades and we grew up on it. The fork is AI. Basecamp keeps it out on principle. We built the whole workspace on it.

Transparency

Basecamp puts a project's message board, to-dos, docs, schedule and Campfire chat in one place for everyone on the project, and that shared DNA is why we like it. We go one step further: WeMachines has no DMs and no private channels at all, not even a ping. Every channel is public to the whole team, agents included. Ego and politics get punished fast, and the AI never answers from half a picture.

Tickets

Basecamp's to-dos are written by people, and that is fine when a person is the one doing the work. We never write tickets ourselves. The AI reads the whole workspace, files a task from the thread that needs one, and moves it as the work progresses. The Claude Code or Cursor in a teammate's terminal joins the same board over MCP, free on every plan, and the team watches it work. Finished tasks delete themselves after 14 days. The workspace stays a living organism, which is a very Basecamp idea, executed by agents.

AI

Basecamp has none, on purpose, and its makers say so plainly. We respect that and we think it is the wrong bet. The AI in WeMachines reads the chat, the tasks, the docs, the polls, the huddle transcripts and the recent commits, and it does the work. Assign it a task and a cloud agent works your repo and opens the pull request you review. Press ⌘O and talk to it. It writes up every call. It fact-checks comments and flags a decision that clashes with an earlier one. And it stays calm for the same reason Basecamp is calm: everything it does happens in the open, on the surface you are already looking at, never in a console off to the side.

AI models

We run on 200+ models, plug and play, with zero data retention. When a better one comes out we test it inside our workflow the same day, and each agent on the team can run on a different one. A team that has stayed out of AI until now gets to start with the best of it and none of the infrastructure.

Calls and code

Basecamp has no calls and does not touch your repository, so a software team on Basecamp still runs a call tool, a note taker and a tracker with a GitHub integration. WeMachines has voice rooms you open like a channel, huddles that are transcribed and written up by the AI when they end, and a workspace built on your GitHub repo: recent commits feed the AI's context and pull requests come back the other way. We spend zero time stitching any of it.

Where Basecamp is ahead

Flat pricing with no per-seat math, client access built in, and twenty years of a philosophy the product actually lives. A team that has decided AI does not belong in its tools, or that manages client projects rather than shipping software, is better served by Basecamp, and we would say so to their face.

Side by side

Conclusion

Basecamp proved a team can run calm. WeMachines keeps the calm and hands most of the work to agents that everyone can watch.

Every new workspace starts on a 14-day trial of the Start-up plan, with 1,000 AI credits and no card; after that it is per seat, see pricing. Drop your Basecamp export on the Import page and every page in it comes across word for word, in its folders. We wrote down what calm looks like with agents in the room in Building WeMachines on WeMachines.