We build the hive
that builds the hive.
A small team building Hivemind OS — one operating system running a coordinated hive of specialized AI agents. Crafted for builders. Adapts to whatever we point it at.
- Founded
- 2023
- Headquarters
- Toronto, Canada
- Surfaces live
- 3 — Nani, Forge3D, GameNova
- Minds in Hivemind OS
- 7 specialized AI agents
- Stage
- Shipping in production
Hivemind OS beats
a stack of tools.
Most teams ship a new SaaS for every workflow. We took the opposite bet: one orchestration layer, many specialized AI agents, reshaped per domain.
Stack of tools, glued together.
- ×A new SaaS for every workflow
- ×Glue-code holding the stack together
- ×Five vendors, four logins, three SDKs
- ×Each tool re-learns context from scratch
- ×Maintenance scales with feature count
Hivemind OS, many minds.
- ›One orchestration layer, many AI agents
- ›Minds share state — no glue code
- ›One platform, many surfaces
- ›Memory compounds across the whole hive
- ›Maintenance scales with Hivemind OS, not the surface
How the hive
grew its minds.
Three years of compounding intelligence — distilled into one orchestration layer that keeps absorbing new minds.
Built the orchestrator first.
Started with the question most teams skip: how do you route work between specialized AI minds without spaghetti code? Built the routing layer before the minds.
Wired in perception, planning, decisioning.
Trained the first specialized minds and taught Hivemind OS to coordinate them. Proved the thesis on one domain before generalizing.
Three surfaces on one Hivemind.
Same orchestration layer, reshaped for family life (Nani), 3D creation (Forge3D), and creative worlds (GameNova). Hivemind OS adapted; we didn't rebuild.
The hive runs live, end-to-end.
Every mind described on Hivemind OS page is shipping in production today. Next: open Hivemind OS to outside builders.
How we
build the hive.
Six rules we keep coming back to. Not aspirational values — operating principles that shape how Hivemind OS is wired.
Build the orchestrator first.
Routing and coordination are the hard part. Get them right before adding minds — otherwise every mind becomes glue code.
Each mind does one thing.
No mega-models doing everything mediocre. Specialized minds, deep at one job, coordinated by Hivemind OS.
Adapt — don't rebuild.
A new surface should reuse Hivemind OS, not fork it. If we have to rewrite to ship something new, the architecture is wrong.
Trust by architecture, not by promise.
Privacy, isolation, and auditability are baked into how Hivemind OS is wired — not bolted on later via policy decks.
Ship before it's perfect.
Production is the only honest signal. Get the hive in front of real users; let the world tell us which minds need sharpening.
Learn in production.
Every cycle teaches the hive. Memory compounds. Hivemind OS you ship today is dumber than the one running tomorrow.
A small team,
doing the work of many.
The whole point of building a hive is so a small team can ship like a big one. Each of us specializes; Hivemind OS coordinates the rest. The same way the product works.
See the hive
in motion.
Family life, 3D creation, creative worlds — or whatever we build next. One brain. Many surfaces.
It all runs on Hivemind OS.
The engine, the agents, the shared services — every Taskclan product is an app on one operating system. That platform is the moat, and it compounds with every product we ship.
Explore Hivemind OS