OzBrain

OzBrain's shared knowledge base lets multiple AI agents read and write to the same structured articles, cutting the manual context-switching that eats delivery hours. With a free tier up to 50 articles and Pro at $20/month for 300, agencies can standardize client knowledge at near-zero cost, then resell setup as a $1,800 productized offer. The verdict's moderate resale potential and lack of white-labeling mean the real leverage is internal efficiency, not client-facing margins.

OzBrain's pricing tiers are defined by article counts: Free allows up to 50, Pro up to 300, and Max for larger bases. For agencies, this creates a clear capacity ceiling that directly impacts client onboarding and retainer costs. When deploying OzBrain for a client, map their expected knowledge volume against these limits. A solo practitioner with a narrow service line might fit within the Free tier, but a growing agency managing multiple client accounts will quickly hit the 50-article cap, forcing a Pro subscription at $20 per month. The Max tier at $99 per month suits knowledge-heavy operations like legal or medical practices. Agencies should factor this ceiling into their productized offers, such as the $1,800 Starter Knowledge Setup, ensuring the chosen tier covers the client's article growth for at least six months. This prevents mid-retainer upgrades that erode margins and client trust.

Memory Portability Premium is the principle that an agent memory layer is worth more to an agency when its contents can be exported, re-indexed, and replayed somewhere else. Persistent memory compounds: every client architecture decision, brand rule, and debugging discovery an agent stores makes the next session cheaper to run. But that compounding only belongs to the agency if the store is portable. A memory layer that holds context in a proprietary index converts institutional knowledge into a hostage; switching tools means re-teaching every agent what the last one already knew. The premium is the delta between a memory layer you can walk away from and one you cannot. Knownbase organizes notes by project and tag, which makes bulk export tractable, while Bourdon federates one memory across Claude, Codex, and Cursor accounts, so the same fact survives a tool swap. Audit export format before you audit recall quality.

Recall Latency Budget treats the time an agent spends re-establishing context as a line item you can measure and cap, not an invisible tax. Every session that starts cold forces the agent to re-read brand guidelines, re-derive architectural decisions, or re-ask a client's tone rules, and each of those steps burns tokens, wall-clock time, and human review hours. The budget is the acceptable ceiling on that re-establishment cost per workflow. Recognition-first systems such as Bourdon push recall toward near zero by federating memory across Claude, Codex, and Cursor, while retrieval-based layers such as Knownbase and Cogni trade a small lookup step for structured, queryable archives. For agencies running retainers, the budget compounds: a 20-minute re-brief across 40 monthly agent runs is roughly 13 hours of billable capacity. Set the ceiling before you scale agent count, because a memory layer that adds latency per hop quietly erodes the margin you automated to protect.

Adopt OzBrain only when your agency runs multiple AI agents and your shared knowledge exceeds the 50-article free tier, then pay for Pro or Max to scale.

Before standardizing any client account on one memory layer, export the full store to a portable format and re-import it into a second tool, and only then make it the system of record.

If your agency runs Claude, ChatGPT, and Cursor side-by-side and loses time re-feeding context between them, OzBrain's Free tier (up to 50 articles) lets you pilot the shared brain at zero cost. Upgrade to Pro at $20/month for 300 articles once the pilot proves value, or Max at $99/month for larger knowledge bases. If your workflows are single-agent or you need white-label resale, skip it.

A 5-7 day sprint to stand up a shared knowledge base for a client's AI agents, configuring article structure, agent connections, and governance rules so Claude, ChatGPT, and Cursor work from one current source of truth.