Flotira keeps a long-term, private memory of your work — every conversation, every document, every fact you state — and pulls the right context into every reply. Here is exactly how that works, in plain English.
Most AI assistants forget you the moment the tab closes. You re-explain your business every session. You re-upload the same files. You repeat the same preferences. It’s exhausting — and it stops the AI from ever feeling like it actually knows you.
Flotira is built differently. Memory is not an add-on. It is the foundation.
Memory isn’t a single bucket. Flotira keeps four kinds of memory, each one good at a different job. Together they make up your knowledge graph.
A semantic archive of everything you’ve ever said to Flotira and every file you’ve shared. Searchable by meaning — ask for "that idea about pricing" and it finds the turn even if you never used those exact words.
When you say "my brand color is #ff6644" or "I ship on Thursdays," Flotira extracts that as a clean fact. No re-scanning old conversations — the answer is always one lookup away.
As facts accumulate inside a project, Flotira quietly rolls related ones up into a wiki page — a living summary of everything the AI knows about that project. You can read it, edit it, or let it keep growing on its own.
Every memory is linked to related ones — "this fact came from that conversation," "this wiki page absorbed those facts." When Flotira answers, it follows these links to pull in context you wouldn’t find with plain search.
Every memory is linked to related ones. When you ask Flotira a question, it doesn’t just match keywords — it walks the graph and pulls in everything connected.
Every time you send a message, Flotira runs this sequence before it even starts writing a reply.
You tell Flotira your brand color is red. Three months later, you rebrand to blue. Here’s what happens:
The old version is kept in history, never deleted. If you ever want to undo, it’s still there.
Every memory is tied to your tenant and enforced at the database level with row-level security. Other Flotira users cannot see your memory. Support staff cannot browse your memory. Nothing you store is used to train anyone else’s model.
A context window is an AI’s short-term working memory — the text it can see while writing a single reply. It resets when the conversation ends. Typical windows today hold between 8,000 and 1,000,000 tokens. They don’t carry forward on their own.
Flotira’s memory is long-term storage — conversations, facts, documents, and summaries that live on after the tab closes. When you send a new message, Flotira searches this long-term memory and copies the relevant slice into the context window automatically.
Put simply: the context window is what the AI can see right now. Memory is what it can remember forever. Flotira connects the two so you never have to.
The quick answers to the questions people ask most about Flotira’s memory.