Running CardGo as a service, Agent Memory Knowledge Connectors

CardGo Agency Implementation, Standardizing AI Context Across Your Team

Learn how to build encrypted context card libraries for your agency's recurring projects, train team members to attach relevant cards across ChatGPT, Claude, Gemini, and other AI platforms, and reduce setup time on every client engagement. This course covers card architecture, team workflows, and productizing context management as a repeatable service delivery component.

Open the decision record for CardGo

What does running CardGo for clients commit you to?

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

Monthly tool cost
Vendor plan cost basis is CardGo's freemium pricing; the lowest paid plan price is not published in the supplied data, confirm the current pricing_tiers amount before quoting. Setup labor is agency-provided and must be measured, not assumed.
Time to first value
Time to value: days (published); setup complexity: medium
Payback
Not modeled, requires agency-supplied client price, labor cost per card setup, expected client volume, and vendor plan cost
Guided implementation
8 hours

Is CardGo worth running as a client service?

CardGo credibly reduces repeated context setup across ChatGPT, Claude, Gemini, Perplexity, Grok and MCP tools, with end-to-end encryption as a real differentiator for agency client context. What remains unknown is any published client-facing price, agency margin, and whether a managed-service wrapper sustains retention.

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

  • Chrome (or other desktop Chromium browser) for the CardGo extension
  • ChatGPT, Claude, Gemini, Perplexity and Grok accounts for the client's AI tools
  • MCP-compatible tools such as Claude and Cursor for card reuse
  • CardGo account on a paid tier (vendor cost basis, verify current pricing_tiers pricing before quoting)

People and inputs

  • Written client context source material for Profile, Now, Goals, Guidance, Memory, Timeline and Skills fields
  • Internal card-authoring template and naming convention
  • Setup checklist covering extension install, card encryption verification, and attachment testing across the supported chatbots
  • Client approval process for context content given end-to-end encryption means CardGo cannot recover lost cards

Included with the course

6 working documents for delivering this service.

  • Context Card Architecture Worksheetworksheet
  • Multi-AI Platform Briefing SOPsop
  • Client Context Card Library Templatetemplate
  • Team Onboarding Checklist for CardGochecklist
  • Project-Based Card Reuse Guideguide
  • Encrypted Sensitive Data Storage Protocolsop

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