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Find and fix a missing piece 2 min read

Why is a chat missing from AI memory?

A missing chat can be a capture, sync, or retrieval problem. Confirm the right account and source scope first. Then check whether the source reached the memory system before judging the assistant’s answer.

Find the first missing step

Start where the data originates. Is the conversation visible in the provider account you intended to use? Was that provider allowed, and did your chosen history range include the chat? A signed-in browser does not answer those questions by itself.

Next, check Dray’s capture and sync state. If the conversation is present locally but not available to a connected assistant, record that distinction. It helps separate an upload or processing problem from a search problem.

Use one known source to test retrieval

Choose a harmless conversation you know was included. Search for a distinctive detail, then ask the assistant to consult Dray explicitly. If the tool returns the source but the answer ignores it, the failure is later in the chain.

Do not repeatedly disconnect and reconnect every provider while diagnosing a single missing chat. Change one thing at a time so you can tell which step helped. Keep private conversation text out of support screenshots unless it is needed and approved.

TAKE THIS WITH YOU

A useful support note

An illustrative template. Replace the details with material you are allowed to share.

Provider and intended account: […]
Approximate conversation date: […]
Chosen capture scope: […]
Visible in provider: yes / no
Visible in local archive: yes / no / unknown
Sync status or sanitized error: […]
Search tried: [non-sensitive description]
What happened instead: […]

USING THIS WITH DRAY

Keep the context. Check the source.

Capture, server-side processing, and connected-agent access are separate parts of Dray. The setup guide explains how to check the connection without assuming all history is present.

Dray is in beta. Available sources and connections depend on your setup. Read the data notes before granting access.

Sources & next reads

Product details are grounded in the guides below. Example projects and prompts are illustrative, not customer results.