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Noosphere

An atlas of what
we read together.

Send Noosphere a document, a website page, or a recording. It uses artificial intelligence to extract, organize, and process the information inside — the people, organizations, and claims — and builds a graph showing how they are connected. Nothing to install: the software runs in the cloud and you sign in with Google.

23,428 Sources processed
352,164 Entities
577,258 Relationships

Live figures from the Noosphere graph

What the service does

I

Extraction, with provenance

Entities and relationships are pulled from documents, website pages, and media files — PDFs, articles, images, and audio recordings alike. Every node and edge keeps a citation back to the source that produced it, so you can always see why the graph believes what it believes.

II

One graph, not a pile of documents

Extractions from separate sources are resolved against each other. A person named once in a court filing and once in a podcast becomes a single entity carrying both citations — which is what lets connections appear that no individual document contains.

III

Sketches you can share

Pull entities onto a canvas and expand outward through their connections. Detect communities, trace the shortest path between two people, and keep the result as a named view — private, shared with a group, or published to a public link.

IV

Reachable from where you work

A browser extension for Chrome, Safari, and Firefox captures the page you are reading in one click. A read-only MCP server lets AI clients such as Claude Code, Claude Desktop, and Cursor query the graph in natural language.

What it costs

Noosphere is free to use right now — upload what you like, build your graph, make and share sketches, connect the extension and the MCP server. Affordable subscription plans are coming, and we will give you plenty of notice before anything you already rely on starts costing money.

Start with one document

Sign in with your Google account and upload something you are already reading. Use of the service is subject to our Terms of Use and Privacy Policy — note in particular how extracted entities and relationships contribute to a graph shared with other registered users.