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.
Company use cases: what teams keep in shared memory
What companies keep in shared memory, by team: architecture decisions and conventions, product history, support policies, sales objections, onboarding - plus bots built on a read-only API key.
Concrete things companies put in Memocore, by team. The common thread: knowledge that people re-explain, that lives in someone's head or a buried chat, and that everyone's AI assistant should already know. Engineering: - Architecture decisions and why they were made, so the reasoning survives the person who made it. - Coding conventions and project standards - stored once, and every IDE assistant (Cursor, VS Code, Claude Code) answers from the same rules instead of inventing its own. - Runbooks and incident postmortems: what broke, what fixed it, what to check first next time. - The gotchas: the flaky test, the deploy step everyone forgets, the service that must be restarted in a certain order. Product and design: - Product decisions and the discarded alternatives - the "we already tried that, here is why it did not work" that saves a repeat discussion a year later. - Terminology and naming conventions, so specs, code and support all use the same words. - Research findings and user feedback themes. Support and customer success: - Policies and canned answers, and the edge cases that are not in the public docs. - A support bot built on a read-only API key that answers from your policies without shipping the whole handbook in every prompt. Sales: - Objection handling, competitor comparisons, pricing rules and what may be discounted. - Account context, so whoever picks up the conversation has the history. Operations, HR and onboarding: - The onboarding project: hand a new hire a project of shared memos instead of a week of meetings. Their assistant answers their questions from day one. - Internal processes: how to request access, how expenses work, who decides what. Across the company: - Meeting and decision records, so a decision is findable by meaning months later rather than lost in a thread. - Contractors and agencies: give them a viewer role on exactly one project, or a public link, and nothing else. - Customers and community: publish a project (documentation, a playbook, prompt conventions) behind a link so people can ask their own AI about your product. - Internal copilots and agents: mint a project-scoped read-only API key and give your own tools exactly the company context they need, with search-by-meaning built in and no vector store to run. The test for whether something belongs in shared memory: if a colleague would have to ask a person for it, or an assistant would have to be re-briefed on it, it belongs in a project memo.