Oi
Shared AI contexts, guardrails and workflows for a team, delivered over MCP to Claude, ChatGPT and Cursor
About Oi
Oi is a shared operating layer that gives every AI tool in an organisation the same memory, workflows and guardrails, connected once through MCP and then available anywhere people work — the site names Codex, ChatGPT, Claude, OpenClaw and Cursor as clients. The unit of reuse is deliberately not the prompt. Four object types make up the library: Contexts, which carry a domain's working knowledge; Guardrails, which block outputs that violate a rule; Connections, which reach systems of record; and Workflows, which chain the rest into a repeatable procedure. The published examples are unusually concrete for this category and give a real sense of the depth on offer — a contract-administration Context that reads Procore RFIs and the drawing register to catch when work is a variation and drafts the claim with MYOB cost backup, a WHS Compliance Guardrail that blocks advice contradicting current Australian workplace-safety regulation by cross-referencing induction and SWMS records, a Progress Claim Pipeline Workflow that pulls percentage complete by cost code and reconciles it against committed and actual costs. Solution kits are packaged by industry, covering construction, real estate, property management, car dealers, fitness and fashion. A public library of over a thousand contexts is searchable and installable, and you can publish your own back to it from any tier including free. The meters to watch are agent messages, which are tight at 10 a day on free and 25 a day on Pro, and Connections, of which free has none.
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