How to Search Your AI Conversations by Meaning

# How to Search Your AI Conversations by Meaning

If you have been using an AI assistant long enough, you have had this experience: you remember having a useful conversation a few weeks ago — the model helped you work through a pricing model, or suggested a refactoring approach you had not considered — and you cannot find it. You scroll through a list of chat titles, try a few keywords, and eventually give up.

Vincony's AI Memory and conversation search are designed to solve exactly this problem. Here is how they work, what they remember, and how to use them effectively.

What AI Memory Does

AI Memory is a persistent layer that builds as you chat. Rather than treating every conversation as a clean slate, Vincony quietly tracks the things you tell it that are worth remembering:

• Preferences — communication style, output format, level of technical detail you prefer.
• Project context — the tech stack you work with, the goals of a project, constraints you have mentioned.
• Decisions and conclusions — approaches you ruled out, choices you made, reasons you gave.
• Personal context — your role, your industry, recurring topics you work on.

Memory is not a verbatim log. Vincony extracts the meaningful facts and preferences from your conversations and stores them as structured memories. In future chats, the model reads the relevant memories before responding — so it does not ask you to re-explain your setup or revisit ground you already covered.

Plan requirement: AI Memory is available on the Pro plan ($24.99/mo) and above. If you are on a lower plan, your conversations are still saved and searchable by date, but the active memory layer is not enabled.

How Memory Builds Over Time

Memory accumulates gradually. After your first few conversations, you will notice the model beginning to apply what it has learned — prefacing answers with assumptions it is making based on your history, or skipping introductory context it already knows you have.

You can view and manage your memories at any time from your account settings. Memories are editable: if something was captured incorrectly, you can correct or delete it. You can also add memories manually — useful for injecting context about a new project at the start without having to explain it in chat.

Nothing in your memory is visible to other users. If you are on a workspace plan, memories are scoped to your individual account unless you explicitly share context with the workspace.

Conversation Search at /os/conversation-search

Even before AI Memory was available, every conversation you had on Vincony was saved. The challenge was finding specific exchanges when you needed them.

/os/conversation-search makes this practical. Instead of requiring exact keyword matches, it searches by meaning — you describe what the conversation was about and it returns the threads that are most relevant, ranked by how closely they match your description.

Examples of searches that work well:

• "The conversation where we discussed migrating from one database to another"
• "When I asked about handling rate limits in a background job"
• "The email draft about renewing a vendor contract"
• "Brainstorming names for a new product feature"

You do not need to remember the exact date, the model you used, or the precise wording of your question. Describe the topic or the outcome and let the search surface it.

Reading Results and Deep-Linking

Search results show the conversation title, the date, and a short excerpt showing the most relevant part of the thread. Click any result to open the full conversation.

Every message in a conversation has a permanent link — the URL updates as you scroll, so you can bookmark or share a specific exchange within a long thread. This is useful for referencing a past analysis in a new chat: paste the deep link into the message box and the model has the context immediately.

Using Memory and Search Together

The most productive workflow combines both features:

• Start a new chat on a topic you have explored before. The model applies your memory automatically — you pick up where you left off without re-explaining.
• If you need to reference a specific past conversation, open /os/conversation-search, find the thread, copy the deep link, and paste it into your current chat.
• After an important conversation, check your memory list to confirm the key takeaways were captured correctly. Edit any that were misinterpreted.

Over time, this creates a compounding effect: the more you use Vincony, the more context it carries, and the less time you spend re-establishing background before you can get useful answers.

Privacy and Data Control

Your conversations and memories are stored privately under your account. They are:

• Never visible to other Vincony users.
• Never used to train AI models.
• Deletable at any time — individual messages, full conversations, or all memories can be removed from your account settings.

If you close your account, all stored conversations and memories are permanently deleted.

Getting Started

AI Memory and conversation search are available on the Pro plan ($24.99/mo). If you are already on Pro:

• Memory is enabled by default. Open a chat and start a conversation — memory begins accumulating immediately.
• To search past conversations, go to /os/conversation-search and type a description of what you are looking for.
• To review or edit your memories, open account settings and navigate to the Memory tab.

If you are on a lower plan, you can still search your conversation history by date and keyword from the conversation list — and upgrading to Pro unlocks the full semantic search and active memory layer immediately.