your AI work, carried forward.
captures from: claude · chatgpt · cursor · codex · +7 more · one work state across the surfaces where decisions happen.
Real AI work no longer happens in one place. You plan in Claude, research in ChatGPT, edit in Cursor, ship with Codex, and keep source truth in GitHub, Drive, Jira, Linear, Basecamp, or the next system. Every tool that already holds context has a business reason to keep it there. Linear cannot say works equally well outside Linear. Notion cannot say your context follows you to Cursor and Claude Code. Microsoft Copilot is bound to M365 by license. ChatGPT and Claude memory are single-provider by design. Cursor memories live in one IDE. Glean is bound to the enterprise search motion.
3ngram is the layer with no incentive to keep you inside one walled garden. Cross-surface is the wedge, and it is the moat: a typed work-state that travels between tools because no incumbent can credibly serve it without conceding their own ground. That is what makes shared context defensible instead of feature-parity.
A decision made in one chat, a blocker explained to a coding agent, a client commitment buried in a transcript, and the document that proves it all may describe the same work. Tomorrow you brief another AI from scratch, or you carry the continuity yourself. 3ngram gives the AI tools you already use a shared work state: decisions with rationale, commitments with deadlines, blockers with resolution state, and source context with citations. Retrieval is how you understand it first. Follow-through is why it matters: briefings, stale and overdue surfacing, commitment updates, and nudges when real work still needs attention.
one brain, every AI.
Save a decision in Claude, reference it in ChatGPT, act on it in Codex. 3ngram keeps typed memory across tools: decisions, commitments, blockers, preferences, patterns, and context.
answers with receipts.
Your AI can search the work around the memory: docs, issues, repos, project context, and prior debriefs. It returns synthesized answers backed by your own source material, not a loose recollection.
not reminders. open loops.
Briefings surface top commitments, overdue items, blockers, and stale decisions. When something needs a human, 3ngram nudges the channel you check; when work resolves, the state updates instead of becoming another note.
- not a replacement for Claude, ChatGPT, Cursor or Codex.3ngram sits behind them. you keep the model and tool for the work.·
- not a generic memory database.a preference and a deadline do not share a lifecycle. 3ngram tracks type, status, due dates, and rationale.·
- not enterprise search with a procurement motion.start from your own AI workflow, then connect the source systems that carry context.·
- not a task manager you must maintain.commitments are captured from debriefs and work context, then resurfaced in briefings and nudges.·
- not shared model training.your data is not used to train foundation models. security details live on /security.·