Categories › AI & Agents › Agent memory & context
Memory for AI agents: facts a person approved, each with a link, and answers that cite them.
Remote server: your requests and data go to api.factograph.app. Claude Code: claude mcp add --transport http factograph https://api.factograph.app/api/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
getManual — The store's manual - how to run its steps and cite its facts - and what it holds: how many facts, from which sources. Read it before the stolistFacts — Every fact in the store, numbered, each number a link to the fact. Cite a fact as its number with its link, [F3](<link>).ask — Ask a question; the store answers only from its facts, each claim linked to its fact, and checks the answer against them. Stores nothing. RestartStep — Start a step - propose, add, documents, ask or remove - in a private store, with its JSON body, as the manual says. propose stores nothing; getStep — Where a running step is now: its next prompt, or its result.replyToPrompt — Answer the prompt a step is waiting on - do the model work in its `system` and `messages` first. Keep answering until the step is done or facreateStore — A new, empty FactoGraph store of the person's own: its private link, which these tools take as `store`. Only after the person said yes to haNot tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.