Running OzBrain as a service, Agent Memory Knowledge Connectors

OzBrain Agency Implementation, Multi-Agent Knowledge Delivery

Learn how to build a shared knowledge base that syncs across Claude, ChatGPT, Cursor, and Gemini so your team stops copying briefs between tools and starts delivering faster. This course covers setting up MCP connectors, routing client knowledge automatically, resolving agent conflicts, and packaging OzBrain as a retainer service for agencies managing multiple AI agents daily.

Open the decision record for OzBrain

What does running OzBrain for clients commit you to?

Published figures for this service. Blank fields are not published.

Monthly tool cost
Starting at $99/month for the entry plan (if applicable) or $199/month for the growth plan – verify current pricing tiers as they may change.
Time to first value
Days (from time_to_value)
Payback
Not modeled
Guided implementation
8 hours

Is OzBrain worth running as a client service?

The evidence supports that OzBrain can be implemented quickly at a modest monthly cost, but the ROI depends on the agency's ability to attract and retain clients using AI agents. Without evidence of market pricing or client demand, the ROI timeline remains uncertain.

An agency-fit judgement for reselling this service. It is separate from the tool description on the decision record.

Before you start

What has to be in place before the first client engagement.

Tools and subscriptions

  • OzBrain account with plan that includes audit logs and markdown export
  • MCP connector setup for Claude, ChatGPT, Cursor, or other supported agents
  • API access (https://ozbrain.com/api/mcp)
  • Access to agent platforms like Claude or ChatGPT for testing
  • CSV export capability for audit logs

People and inputs

  • Time for initial setup and integration – medium complexity
  • Knowledge articles to seed the first client's brain
  • Documentation of workflows and protocols for agents
  • Testing environment to validate agent connections

Lessons in this course

7 lessons on running OzBrain for clients.

  1. 01Why OzBrain Compounds for Agency LTVStrategy
  2. 02OzBrain Article CeilingConcept
  3. 03When to Adopt OzBrain: If You Run 3+ AI Agents and Hit the 50-Article Free TierEvaluation Rule
  4. 04OzBrain: Buy vs Skip (Multi-Agent Agency Workflows)Decision Framework
  5. 05Why Agencies Fail With OzBrain in Multi-Agent WorkflowsFailure Pattern
  6. 06OzBrain Client Onboarding Sprint (5-7 days)Implementation Blueprint
  7. 07OzBrain Client Knowledge Base Rollout (Onboarding)Operating Procedure

Included with the course

7 working documents for delivering this service.

  • Multi-Agent Knowledge Architecture Worksheetworksheet
  • OzBrain MCP Connector Setup Checklistchecklist
  • Client Knowledge Base Onboarding SOPsop
  • Conflict Resolution and Audit Log Templatetemplate
  • Retainer Pricing Guide for Shared Brainsguide
  • Agent Routing Rules and Freshness Maintenance Checklistchecklist
  • Knowledge Export and Client Handoff Templatetemplate

Listed by name. These documents are not yet published as individual downloads.