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 strategic value an agency captures when its agent memory layer exports cleanly, measured as the gap between what client context is worth inside a tool and what survives leaving it. Agencies accumulate client-specific architecture, brand rules, and debugging history across long-running retainers, and that accumulated context is the real deliverable asset. When the memory layer is a closed silo, switching tools means rebuilding months of context from scratch, so the premium collapses to zero and the vendor captures the rent. Knownbase stores decisions, debugging discoveries, and constraints as project notes retrievable across sessions and tools, which keeps the archive portable. Cogni runs retrieval through an entity graph with spreading activation and no LLM in the path, so connected facts stay model-agnostic. Bourdon federates one memory across Claude, Codex, Cursor, and Copilot, so a fact learned in one tool is recognized in the others. Before standardizing, test one export: pull a client's memory out and read it without the original tool.

Recall Latency Tax is the hidden cost of how long an agent takes to surface a fact it already learned. Every re-prompt, re-explanation, and context paste is a tax paid in senior hours, and it compounds across a retainer because the same client architecture gets re-taught every session. The framework separates two retrieval paths: recognition-first federation, where a fact learned by one agent is instantly available to others, versus search-based lookup, where the agent must be told what to look for. Bourdon's recognition-first design pushes recall latency toward zero across Claude, Codex, Cursor, Copilot, and Devin, while Knownbase organizes notes by project and tag so retrieval depends on correct querying. For an agency running five client accounts through three tools each, the difference shows up as fewer re-briefs per deliverable and more margin per retainer hour. Audit recall latency before you audit model quality.

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 on any agent memory layer, export a full client knowledge set, re-import it into a second tool, and confirm the entity relationships survive the round trip.

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.