Oi
One Shared AI Brain For Every Tool Your Team Uses
by Carhaix Au Pty Ltd · Australia (Infrastructure hosted in United States) · Founded 2024
What is Oi?
Oi is a team AI operating layer that gives every tool and agent in your organisation one shared memory, guardrails, and workflows — connected once through MCP and available across ChatGPT, Claude, Codex, and Cursor.
Built by Carhaix Au Pty Ltd in Australia, Oi lets teams stop re-explaining their business to every AI client. Instead, you define reusable Contexts once, attach portable Guardrail policies, and deploy them universally.
With a public marketplace of 1,000+ proven Contexts, built-in usage analytics, and API access, Oi turns scattered AI adoption into a measurable, governed operating system for the entire organisation.
Oi — One Shared AI Brain For Every Tool Your Team Uses Whether you're evaluating Oi for your team or comparing it to alternatives in the AI Productivity Tools category, this in-depth review covers everything: features, pricing, real user reviews, pros and cons, integrations, and direct comparisons against competitors.
Key Features 8
Who Is Oi For
Pros & Cons
- Universal MCP Cross-Client Coverage
- Portable, Policy-Level Guardrails
- Rich Public Context Marketplace
- Measurable Per-Context Analytics
- Limited Free-Tier Connections
- Low Free Daily Agent Messages
- Governance Features Paywalled
Frequently Asked Questions
5 questionsOi hosts a Streamable HTTP MCP server at api.oioioi.ai/mcp. Any MCP-compatible client — including ChatGPT, Claude, Codex, and Cursor — authenticates via OAuth or a bearer token using your organisation API key, then gets immediate access to all your team's Contexts, Guardrails, and Workflows without any per-client reconfiguration.
A Context is a reusable role-based prompt or operating instruction (e.g., 'Product Manager', 'Design Reviewer'). A Guardrail is a portable policy layer — rules like 'ask before publishing' or 'never leak sensitive data' — that attaches to any Context. A Workflow is an ordered sequence of Contexts with defined handoff steps, allowing multi-stage tasks like a full launch review to run end-to-end.
Yes. Any team can publish their private Contexts, Guardrails, Connections, and Workflows to the public Oi Marketplace. Other organisations can then discover, install, and fork those assets into their own private library to customise before deploying — enabling community-driven knowledge sharing across the platform.
Oi supports third-party integrations including GitHub and Linear as connectable data sources, allowing Contexts to be enriched with repository metadata, issue data, and product information. The number of active Connections depends on your plan (0 on Free, 1 on Pro, 3 on Team, 5 on Business).
Oi embeds usage and spend analytics directly into the platform, tracking agent message consumption, Context invocation counts, and operational logs per workspace. Analytics dashboards are available from the Team plan upward, giving administrators visibility into which Contexts are being used most and where token budgets are being spent.
Who is Oi for?
Oi is most useful for Product Managers, Engineering Team Leads, AI-Forward Startups and Operations Managers.
Oi pricing
Oi uses a freemium model: a usable free tier with optional paid upgrades. Headline pricing: Free plan available; Pro from $19/mo (billed $190/yr). For the current tier breakdown and any limits, see the pricing section above or check the vendor's pricing page directly — limits and prices change.
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Oi Pricing
Free plan available; Pro from $19/mo (billed $190/yr)
- 3 Seats
- 10 Private Guardrails
- 10 Private Contexts
- 1 Private Workflow
- 10 Seats
- 25 Private Guardrails
- 25 Private Contexts
- 3 Private Workflows
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