What is Solmyr?

Solmyr is an AI-powered business companion — a full-stack application with an orchestrated agent, real-time workspaces, multi-tenant collaboration, and a background automation engine.

This isn't a startup pitch. It's a research and portfolio project to demonstrate what's possible when you combine modern AI tooling with solid engineering fundamentals. We built it to learn, to push boundaries — and honestly, we were surprised how well it worked.

50+Agent Tools
MultiAI Providers
Real-timeCollaboration
v1.4Current Version

How it started

It was a Sunday night. We were browsing project ideas — something to build for our portfolios, something that would actually be fun to work on. And we kept coming back to the same thought: AI is genuinely intelligent now. Not just "autocomplete text" intelligent — actually capable of reasoning, planning, weighing trade-offs. So what would happen if you gave it real structure to work with?

Not another chatbot. Not a wrapper around an API. But an actual system — with a database, task management, decision workflows, research capabilities — and then let an AI like Claude operate inside that system. Could it actually help someone plan and run a business? Not just answer questions about it, but genuinely assist — track progress, do research, flag risks, make suggestions grounded in real context?

We thought it would make a great portfolio piece. Show the architecture, explain the design decisions, demonstrate the depth. A CV project.

Then we tried it ourselves.

What surprised us

The results were... not what we expected. We ran it on a few smaller projects over a couple of weeks, and the AI didn't just answer questions — it actually managed the work. It researched markets on its own, broke vague goals into concrete tasks, planned sprints, and coordinated what needed to happen next. The team didn't have to run planning meetings or figure out priorities themselves — Solmyr handled the agile side of things almost entirely on its own.

We built features we thought were "nice-to-have" demos — like a decision framework where the AI can't approve its own work, or triggers that let it proactively follow up on things. Turns out those weren't demos. They were the features that made it genuinely useful.

So we kept building. We moved from single-user to multi-tenant because people around us wanted to try it. We added workspaces, billing, team collaboration — not because we planned to launch a product, but because people were actually using it and asking for more.

Is it a product? Maybe. Is it a research project? Definitely. Is it a CV? Absolutely. But most of all — it's proof of what's possible to build right now, and we think that's worth sharing.

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