Call it a second brain if you like. Sapience is built like a real one. It decides what is worth learning, consolidates while you rest, revises what it believes, and never stops connecting.
Open your brain and it's already found things: two of your notes that conflict, a position that's gone stale, a thread you left open 100 days ago. The co-scientist reports in; you didn't prompt it.
Your Claude Code, Claude, and Codex sessions share the same memory: what one session learns, the next one knows.
Extraction runs on your machine. Secrets are automatically detected and redacted, and you review everything before it is shared. Only the knowledge objects you approve leave; asking and connecting run against those, never your raw conversations.
Ask it anything; every claim in the answer links back to something you actually know, and lights it up on the map.
And it does not stop with you. Share your brain with whom you choose, and their AI is infused with what you know.
Knowledge that compounds.
Across people. Across AIs.
This is how one brain becomes a collective one. Every brain that connects makes the next discovery more likely. Nothing resets to zero.
Your work organizes itself into a navigable map of knowledge, from a single thought out to the whole landscape of what you know.
A question returns an answer synthesized from your own knowledge, cited to the exact knowledge objects it used. When it does not know, it says so.
From any idea, reach into 250M research papers and surface field-correct work you would not have found by search.
Tell Codex something, ask Claude, it knows. One brain built from all your AI tools, refreshed in one line whenever you want.
Share a project, or your whole brain, with the people you choose. Their AI is infused with what you know, and on import it lights up where your knowledge connects to theirs. Knowledge compounds across the team.
Beneath the application is a memory architecture modeled on how a brain actually works. Its unit is the Knowledge Object: a structured memory, typed, confidence-scored, source-attributed, and linked to others by edges that make discovery possible. Anyone can store text in a database. The gating, consolidation, and matching are the moat.
A prediction-error gate weighs every claim against what the brain already knows, so it accumulates signal, not noise.
Like a brain asleep, it replays and consolidates episodic memory into durable knowledge, surfacing non-obvious connections. Discovery, not storage.
When new knowledge contradicts old, it resolves and supersedes rather than confidently holding both. Contradictions are flagged, not buried.
Near-duplicate memories suppress each other, so retrieval stays sharp as the brain grows.
The reasoning model is interchangeable: Claude, GPT, Gemini, or open. The intelligence is in the architecture.
Every claim is typed, confidence-scored, and traceable to its source, cryptographically signable.
A CLS-theory memory architecture (hippocampal capture, cortical consolidation), with forty provisional patent filings across the architecture. Performance validation against frontier baselines is ongoing and reported separately.
No setup, no API key. One line builds your brain from your recent work and gives you a private link.
curl -sL https://brain.coretx.ai/install | bashConnect your brain to Claude or Codex over MCP and the loop closes: your AI reads what you know mid-conversation, and writes what you learn back, so every session starts smarter than the last.
Capture from the AI tools you already use, no copy-paste, no exports.
We store the knowledge objects we extract, never your raw conversations, and we never train on your data. Your link is private and unguessable; hosted brains auto-delete after 14 days of inactivity. For a fully private or on-prem deployment, talk to us.
A brain for each of us. The beginnings of a collective one.