Memocore Knowledge Base
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Your guide to Memocore. Memocore is your persistent memory for AI — it saves notes, ideas, and knowledge so they stay with you across chats and tools. Here you'll learn what Memocore does and how it works, discover its features and best tips, and see real ways to use it in everyday work. Browse the articles or search for answers to the most common questions.
Shared project
This is Memocore
Memocore is the memory your AI clients share. Save something once and every assistant you use already knows it — nothing to re-explain, nothing to copy between chats.
How search works
Search finds the right memo by meaning and by wording at once, ranks it, tolerates typos, and tells your AI how solid the match is. Scoped to private, a project or a company; filterable by tags.
Search is how your AI finds the right memory before it answers - so the relevant note surfaces instead of a keyword dump. You do not usually run search yourself; your connected AI searches your memory automatically, but you can also search in the dashboard. What it gives you: - It finds a memo by meaning as well as by wording. Every memory is turned into an embedding - a vector capturing what it is about - and so is your query, so the two can be compared by meaning; that is combined with ordinary keyword matching over the same query, and a memo found by both sides ranks highest. This is why a note comes back even when you ask for it in words you did not use when you saved it. - Results are ranked by relevance, weighting a memo's internal retrieval cues most heavily, then its title, preview and content. That is why filling a memo with good cues makes it easy to find later. - It tolerates small typos, so a slightly misspelled query still finds the note. - Results are lightweight: title, a short preview, whether the memo has files, and where it lives (project, company and tags by name). The full content is fetched only for the memos that matter. - Every search comes with a plain-language verdict on how solid the results actually are: which memos are genuinely on topic, which merely share a word, and when the honest answer is that your memory holds nothing on the subject. A search always returns a page of nearest memos, so that verdict is what stops an assistant from trusting a lookalike. Scope: search can span everything you can access (your private memos plus all your projects), or be narrowed to just your private memos, a single project, or one company's memory. You can also filter by tags - keep only memos carrying all the tags you list, or drop the ones carrying tags you exclude. Duplicate detection: when you save something, Memocore checks for near-duplicate memos and nudges you to merge rather than create a second copy. Fair use: preparing your memos for search, and running searches, both come with usage allowances that depend on your plan. Normal use stays well within them - they are only there to keep things fair. A search run within a company, or within one of its projects, draws on that company's allowance; otherwise it counts toward your own.