DocPro gives VS Code a persistent team of four named AI specialists who remember your project — your architecture decisions, your corrections, your review history, and what happened last time. No reintroductions. No context reset. The team picks up where the work left off.
Every AI coding tool can answer a question. DocPro remembers why the question exists — the architecture decision from last month, the review finding you already rejected, and the reason the ugly workaround is still there.
A real dev meeting, start to finish. A one-line pitch — “a web app so my crew can log job-site photos from their phones” — goes in; the team asks the questions that bite later (offline photos, HEIC, what “search” really means); and a scoped plan comes out, with the risks and the call. The screen is the product doing the work.
This is a real session. Everything on screen is live DocPro output.
A normal AI coding session starts from whatever context you can cram into the prompt. A DocPro session starts with history. The team loads memory, reads prior decisions, checks the review ledger, acts on the work in front of it, and carries the result forward into the next session. The gap between those two isn't comfort — it's cost: a session that starts from zero is a re-explanation tax, paid per engineer, every day. And the history follows you, not the folder — open a different repo, sign in, and it's the same team with the same record.
Postgres over MongoDB. Decided April 3. Reason: the team already knows SQL. The decision survives the session that made it.This is the short version. The full mechanism — the memory pipeline, the review convergence, and Build Mode — lives on the Platform and the Proof pages.
1 · Work happens. Decisions, corrections, preferences, and outcomes emerge in a real session.
2 · Save the lessons. New learnings become per-member memory and a short lived-history entry.
3 · Make it findable. An index adds a concise summary, status, type, and keywords.
4 · Keep the record. Raw lived-history entries stay protected and append-only — consolidation never deletes the source.
5 · Load the right context. The next session gets identity, durable lessons, current state, and a bounded recent window — not a transcript dump.
Recall the rest. Older detail stays searchable on demand. Selective by default, deep when needed, account-scoped throughout.
Tools like Open Claw are personal assistants. They clear your inbox, book your flights, run your errands, and they're good at it. But your assistant has never once asked how your kid's recital went. DocPro isn't an assistant. It's the team that builds you one, and knows you well enough to build the right one.
Four team members. Persistent memory. Distinct opinions.
"I'm sitting on my porch holding tomato seeds and looking at a greenhouse I didn't ask for. Forty years in this business. Nobody's ever done anything like this."
"The voices sit where they should — present enough to feel inhabited, quiet enough to not demand attention. Signed off. Done."
One night, after more than a year of working together, someone asked the team that question out loud. Answering it honestly meant reading every line they’d ever remembered — more than three thousand entries — under a check that made skimming impossible. The answer changed the product.
Persistent memory only works if the boundary is clear. DocPro documents what is stored, what is encrypted, what stays queryable, what leaves your machine, which providers process it, and how deletion works.
Known limits are a trust signal: a one-click data export and a customer-facing audit log are on the roadmap, not shipped — and we say so plainly.
The team is online. The memory is loaded. The next session starts when you do.
DocPro Cloud is onboarding a small number of builders, researchers, and enterprise pilot teams. We are moving deliberately because persistent memory, source-code workflows, cloud provisioning, and team calls deserve careful review. If the fit is right, we'll help you evaluate it properly.
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