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Privacy and data flow

Exactly what stays on your machine and what is sent out, feature by feature and connection by connection.

9xchat keeps your workspace on your own machine. What leaves it depends entirely on which features you use and which model you point them at, so this page states it directly rather than in general terms.

The rule everything follows

Your data lives locally. A request sends whatever that request needs to whoever answers it.

Chats, notes, memories, attachments, and knowledge collections are stored in 9xchat's local database on that device. Nothing is uploaded in the background, and there is no server-side copy of your workspace.

The moment you ask a model something, the material that request needs goes to whoever is answering — and who that is, is your choice.

Who answers, and what that means

RouteWho receives your requestWho bills you
Local model (Ollama)Nobody — it runs on your machineNobody
Your own API keyThat provider, directlyThat provider
9xchat creditsThe model provider, reached through 123sudo123sudo, from your balance

A local model is the only route where a request leaves nothing at all. Pick it for anything that must not leave the device.

Feature by feature

FeatureWhat is sentTo whomPlan
Sending a messageYour message and the conversation historyWhichever model you selectedFree
Context ShieldReduces the above — history before the anchor is left outFree
AttachmentsThe contents of the file you attachedWhichever model you selectedFree
Screen captureThe captured imageWhichever model you selectedFree
Notes AI EditThe text of the note you are editingWhichever model you selectedFree
Code workspaceThe contents of the files it readsWhichever model you selectedPro
Knowledge — indexingThe text of files you add, to build the search indexYour embeddings provider (123sudo by default; Ollama keeps it local)Free
Knowledge — searchingMatching excerpts, added to the conversationWhichever model you selectedFree
MemoriesStored locally; recalled memories are added to the conversationWhichever model you selectedPro
Live web searchYour search queryThe search providerPro
Read webpageThe URL, and the page is fetchedThat websitePro
YouTube transcriptThe video URLYouTubeFree
Image generationYour promptThe image model you selectedPro
DictationYour recorded audioYour transcription provider (123sudo or OpenAI)Pro
Read out loudThe text being spokenYour audio provider (123sudo or OpenAI)Free
MCP serversWhatever the server is given; it runs locally as a processDepends entirely on that serverPro

Three of these leave your machine even when your chat model is local: knowledge indexing, dictation, and read out loud each use their own provider. Set the embeddings provider to Ollama to keep indexing local; audio has no local option today, so avoid dictation and read-aloud if audio must not leave the device.

What 9xchat itself receives

Separately from any model request, the app talks to 123sudo for account reasons:

CallWhat it sends
Account and licence checkA machine identifier, a machine name, and your UID
UpdatesA version check
9xchat creditsThe request being billed, since 123sudo is relaying it

The account check carries no conversation content, no file, and no prompt. If you use your own API key or a local model, 123sudo never sees the request at all — only that your licence is valid.

What Context Shield does and does not do

Context Shield limits how much of a conversation is sent with your next message. Anchor it at a message and everything before that point is left out of the request.

It is a control over what leaves your machine from that point onward. It has no effect on what a provider does with what it does receive — that is governed by the provider's own policy. If data must not reach a provider at all, use a local model rather than a shield.

Where your workspace is stored

Everything lives in 9xchat's local database on that device: chats, notes, memories, attachments, knowledge collections, and your API keys.

  • Memories are per-device. A second machine signed in with the same UID starts with none. Handing a chat to another device pairs the two for that conversation; it does not copy memories across.
  • API keys and MCP secrets are encrypted locally and substituted in when they are used.
  • Settings → Data & Exports backs the workspace up, and exports a conversation as text, PDF, Markdown, HTML, JSON, or an image.

Choosing a private setup

If your requirement is that nothing leaves the machine:

  1. Install a local model runner and add it under Library → Models.
  2. Set the knowledge embeddings provider to Ollama.
  3. Leave web search, read-webpage, and image generation disabled under Library → Tools.
  4. Do not use dictation or read out loud.

That configuration answers from a local model, indexes locally, and calls out only to check your licence.

Anything a tool returns enters the conversation, and then travels wherever that conversation goes. When judging a tool, read its Safety line in Library → Tools — it states the risk level and the permissions it needs.

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