Drop in a paper, article, note, PDF, transcript, or decision.
A common operating picture for messy knowledge work.
CurrentBase turns scattered notes, documents, research, and decisions into a durable context layer your AI can actually use.
Drop in any paper, article, note, or meeting that feels worth keeping. CurrentBase extracts what matters, connects it to your existing context, and gives you the relief of knowing it is handled.
Private beta opening soon
New sourceResearch article added
Claims, caveats, and useful details extracted.
CurrentUseful signal found
Key details connected to the right context.
Who this is for
Built for people whose work depends on staying oriented.
Founders and builders juggling decisions, notes, research, and next steps.
Researchers trying to preserve signal without letting weak sources pollute the working model.
AI power users who move between tools, models, and sessions every day.
Small teams preparing for AI-first workflows without adding more coordination drag.
Why this exists
AI is powerful. The working context is still scattered.
Important decisions, assumptions, and evidence get buried across notes, docs, chats, PDFs, tabs, and people's heads.
Feeding everything into a model is not enough. Useful AI-assisted work needs structure, admission, provenance, and continuity.
CurrentBase is the maintained context and coordination layer between raw source sprawl and trustworthy AI work.
How it works
Bring the context once. Keep using it everywhere.
CurrentBase works like a source-aware second brain: add new material, keep the useful parts, and let your AI work from the context that survives across sessions.
CurrentBase pulls out the details that are relevant to your existing context.
Your AI can answer from the maintained picture instead of starting from scratch.
What you get
What matters now, with the evidence still attached.
CurrentThe live view of material changes, open loops, and the next review item.
FlowsMaintained workstreams that keep research, strategy, and operations separated without losing overlap.
Inspectable memorySee what was accepted, de-ranked, discarded, or kept as interpretation before it shapes future answers.
Model continuityCurrentBase preserves memory across models without locking users into one model's black-box memory.
Why it matters
Useful AI needs a working memory you can inspect.
CurrentBase keeps sources, decisions, open loops, and human interpretation visible instead of burying them inside a chat thread.
The direction is local-first and source-backed by default, with model providers treated as replaceable inference engines.
Private beta opening soon
Join the waitlist or request a focused demo.
CurrentBase is opening first to high-context operators who want source-backed continuity across notes, research, decisions, and AI sessions.