questions & answers
The short answers, in one place. For the longer story, start at getting started.
what is innernet?#
a memory that keeps itself. it watches the work you do across your ai tools, holds the decisions, preferences and context, and hands them back, current, to whatever you open next.
how does it connect?#
one endpoint. paste innernet.live/api/mcp into any mcp tool, sign in once, and it reads and writes the same memory. about two minutes, nothing to install.
which ai tools work today?#
claude code, claude desktop, chatgpt, cursor, cline, antigravity, and anything else that speaks mcp. a rest api and anchor file cover everything else.
is my memory private?#
yes. row-level security means only you can read your rows; tokens are hashed; sensitive fields can be encrypted at rest. nothing is read until you connect a tool and turn it on.
what happens to my data if i leave?#
it's yours to take. export everything, delete everything, on demand.
do i have to change how i work?#
no. innernet listens where you already think. you keep using your tools exactly as you do, and the memory accumulates on its own.
what is mcp, and why does innernet use it?#
mcp (model context protocol) is the open standard ai tools use to talk to external servers — claude, chatgpt, cursor and most modern clients speak it natively. innernet is delivered as one mcp server, which is why a single url connects your memory to every tool at once instead of needing a plugin per app.
what is a context map?#
each project in innernet is a context map: dimensions (markdown documents like vision or technical), nodes (structured entities — people, decisions, artifacts), and an append-only commit log. branches fork the whole map so you can hold two directions in tension and merge the one that wins.
how is innernet different from notion, obsidian, or a notes app?#
those store flat notes that you maintain by hand. innernet inverts it: an agent maintains a structured, versioned world model for you — consolidating captures, keeping dimensions current, versioning every change. the memory is the artifact, not the notes.
how is innernet different from claude's or chatgpt's built-in memory?#
built-in memory is locked to one vendor and can't be exported, branched, or read by your other tools. innernet is platform-agnostic: the same memory is read live by claude, chatgpt, cursor, and any mcp client — and it's yours to export or delete at any time.
does innernet only work for code?#
no. context maps are free-form — a brand, a screenplay, a company, a research thread all get their own shape. it works for creative and business thinking as much as engineering.
can i import my existing chatgpt or claude history?#
yes. innernet imports your scattered claude and chatgpt memory and organizes it into a hierarchical project tree — that first import is usually the moment it clicks.
can i build my own product on innernet?#
yes. a rest api and typescript sdk expose the same memory layer for your own apps and agents: namespaced memories per end-user, versioned context maps, and ranked search. keys are minted at innernet.live/developers.