Inventory AI-exposed secrets
List the credentials currently loaded into shells, local apps, and AI coding tool processes through .env files or exported environment variables. Prioritize tokens with broad scope or frequent use.
Migration path
You do not need a full rebuild of your credential setup to benefit from KeyLore.
Start with the secrets most exposed to AI tooling and replace the flat env-file pattern with metadata-driven discovery and brokered use.
Move credentials into KeyLore
Add each selected secret to KeyLore so the raw value is stored separately from the information an agent will use to identify it.
Write usable metadata
For each credential, describe the service, purpose, and environment in plain technical language. The goal is to let an agent choose correctly without seeing the token itself.
Update client workflows
Reconfigure Codex, Gemini CLI, Claude CLI, or your MCP client workflow so the tool discovers credentials through KeyLore and requests brokered access instead of depending on env-file injection.
Closing note
Treat migration as an interface improvement, not just a storage change.
The key shift is from raw secret possession by default to metadata-driven discovery and brokered use.