O-Matic Research Lab
There are a lot of pgvector MCPs out there. Some of them are genuinely well-built — clean abstractions, auto-embedding, semantic search in a few tool calls. If you’re scaffolding a
Cross-platform AI governance Give your code a second opinion. O-Matic turns your work into a portable factory: governed agents, persistent memory, and consistent output across Claude Code, Codex, ChatGPT, and
I didn’t get a chatbot response. I got a sequenced plan, agent assignments, and one question before anything was touched. This is what it actually feels like to run the factory.
Every storage system assumes it knows where you keep things. O-Matic Storage starts by asking — and remembers the answer forever. The factory that adapts to the operator, not the other way around.
an AI operating system built for human agency — governing your agents, your processes, and your decisions on any platform.
Every AI tool ever built assumes the human will remember to save. We built a pattern that stops making that assumption. Session Rhythm makes the factory responsible for its own memory — no save button, no close ritual, just the natural cadence of working.
Most AI agent frameworks are collections of prompts with names. Ours isn’t. The O-Matic Agent Model Spec defines a formal construction contract every agent must satisfy before it’s considered active. Not a template. A contract.
A 35MB MySQL database dump loaded into a conversation context window. It became unresponsive. Uncompactable. Unrecoverable. This happened three times before anyone built a fix.