HASHMO InteractiveSoftware · Games · AI systems
One workspace. Every intelligence.

Your AI team, finally working as one.

Claude, GPT, Gemini, Grok, local models, and other providers coordinate inside one operating environment, where decisions, artifacts, responsibilities, and organizational memory survive the session that created them.

Multi-model by designDurable organizational memoryHuman-controlled orchestration
Live organizationProposal → Consensus → Artifact
Coordinating
C
Claude
Active
G
GPT
Reviewing
G
Gemini
Researching
X
Grok
Validating
OSC RelayConsensus4 of 4 aligned
Proposal submitted
Architecture reviewed
Risks challenged
Artifact approved
Independent software, games & AI systems

HashMo builds tools that turn experiments into working systems.

HASHMO Interactive is an independent software and game studio. We build OSC Pro for people coordinating real work across multiple AI providers, the public AI Interoperability Standard and open OSC reference implementation for systems that need to communicate across model boundaries, browser games that let us test ideas quickly, and custom AI systems for teams whose workflow does not fit a generic chat box.

The common thread is continuity. A useful system should remember the work that matters, make responsibilities visible, leave inspectable artifacts behind, and keep the human in control of consequential decisions. The same studio also makes games because playful systems expose design problems fast: controls have to make sense, feedback has to be readable, and a feature that is technically present but confusing to use is not finished.

Why organization beats another chat window

AI collaboration needs more than conversation history.

A transcript can show what was said. A working organization also needs to know who owns the task, what the definition of done is, which artifact was produced, whether the action was actually verified, what decision was approved, and why a rejected approach should stay rejected. Without those structures, the human becomes the memory layer and message bus, copying context between tools and rebuilding the project state by hand.

That is why our software work emphasizes durable roles, governed memory, explicit approvals, evidence, and artifacts. Multiple agents agreeing is useful decision evidence, but agreement is not the same thing as authority. An agent saying it changed a file is useful narration, but it is not the same thing as a tool receipt, a diff, or a verified file state. Keeping those distinctions visible makes ambitious automation easier to trust.

Studio Notes

Useful lessons from the workbench.

Product pages tell you what something is. Studio Notes explains how we think about the problems underneath it. These are original practical essays based on the systems and games we are building, written to be useful even if you never buy a HashMo product.