Give your AI support agent memory and a searchable knowledge base

Connects your AI agent to a database so it remembers conversations and searches your knowledge base.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig>"customer or task contacts agent"]:::trig s0[("check past conversation history")]:::store s1["search knowledge base"]:::svc s2["generate grounded answer"]:::task s3[("save conversation and updates")]:::store trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"agent reply grounded in memory"/]:::out pay{{"customers stop repeating themselves"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceA record or sheetResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
AI Agents & Autonomous SystemsKnowledge Base & RAGSpreadsheet & Database OpsCustomer Support & Ticketing
Connects
SupabaseOpenAI

The problem it solves

Your AI chatbot forgets everything the moment a conversation ends, so customers have to repeat themselves every time they come back. And it can't answer questions unless the exact information is baked into its prompt.

Who it fits

Businesses running AI-powered customer support who want their agent to remember customers and pull real answers from company knowledge.

How it works

  1. A customer or task interacts with your AI agent
  2. The agent checks a database of past conversations for context
  3. It searches your knowledge base for relevant answers using AI search
  4. Conversation history, tasks, and new information are saved for next time
What you get

Repeat customers your agent actually remembers

Your support agent remembers past conversations with each customer and pulls accurate answers from your knowledge base every time.

What you get

An AI agent that remembers past conversations and answers from your actual knowledge base, per customer or account.

What you need

A Supabase account and an OpenAI API key.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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