Lovable

Lovable (lovable.dev) is incredible at building full-stack web apps from natural language. By adding Cencori, you give those apps Memory and Security.

Integration Strategy

Lovable often uses Supabase for the database. Cencori fits perfectly alongside it as the AI Logic Layer.

Step 1: Add Context

In your Lovable project chat, instruct the AI:

"I want to add advanced AI features. Please use the Cencori SDK (@cencori/sdk) for memory and chat completion. Refer to the documentation at https://cencori.com/llm.txt"

Step 2: Implement Features

Memory:

"When a user sends a message, store it in Cencori Memory using cencori.memory.add(). Before answering, retrieve context with cencori.memory.retrieve()."

Security:

"Ensure that all user inputs are passed through Cencori's PII detection. If PII is found, redact it before sending to the model."

Benefits

• No Vector DB Setup: Lovable doesn't need to configure pgvector; Cencori handles it.
• Observability: You can see every AI request your Lovable app makes in the Cencori Dashboard.