a guide · start · kept by innernet
start in one command
connect every ai tool on your machine to one memory, and understand what that one line actually did.
there is one command. it does the whole setup.
npx innernetit opens a browser to sign you in, then finds every ai tool on this machine that speaks mcp — claude code, cursor, codex, windsurf, gemini cli, claude desktop, vs code, cline, zed, continue — and writes the one line each of them needs. run it inside a repository and that folder gets a memory of its own; netti reads the readme and the file tree and shapes the memory around what the project actually is.
what it wrote
every client is pointed at the same door:
https://innernet.live/api/mcpthat is the entire configuration. on first use the client opens a browser sign-in — you approve once at innernet.live and it holds a scoped token from then on. you never paste a key into a chat, and you shouldn't: if an ai ever asks you to, hand it the url instead and let the sign-in run.
tools that can only spawn a command rather than call a url (claude desktop, codex, zed) are given innernet mcp, a thin bridge to the same endpoint.
the anchor in the repo
inside a repository, npx innernet commits a small .innernet/connection.json. it records the project slug and nothing secret. because it is committed, the link travels with the code — someone you've shared the memory with clones, runs the same command, and inherits the same context.
if you'd rather wire one client by hand
claude code is a one-liner:
claude mcp add --transport http innernet https://innernet.live/api/mcpcursor, cline, continue and zed take the url under their mcp settings and run the same sign-in. the per-client walkthroughs live in the docs under connect an ai.
how to know it worked
open a fresh session in any connected tool and say load my projects from innernet. it should list what you have. nothing there yet? say save this conversation to a new innernet project and watch it appear on your dashboard.
more guides
one memory, every ai tool.
innernet is memory your ai tools read live — every project, every decision, every skill, in one place, connected once. this guide is one of the parts worth learning; the rest you'll pick up by using it.