BusyBro

The AI teammate that remembers

Răspunsuri din propriul tău trafic capturat — nu presupuneri. Te ține minte pe dashboard, Telegram și chat.

A friendly robot with a spark antenna connects to four labeled surface tiles — dash, telegram, mcp and cli. Beside it an answer bubble trails a receipt of the tools it ran, each check-marked, and below, a personal memory card is separated from the team memory card by a filter mesh. dash telegram mcp { } cli >_ tools ran personal team

Ce face

Ask, understand, act

Transformă traficul capturat în răspunsuri și în acțiuni limitate de rol.

  • limitat prin RBAC
  • cu confirmare obligatorie
  • secrete mascate

Fundamentat, nu ghicit

Întreabă „cum face login aplicația asta?” și primești fluxul real, direct din capturile tale, plus cod de reproducere rulabil, cu secretele cenzurate. Răspunsurile vin cu dovezi.

Te ține minte oriunde

Învață-l un fapt o dată și te urmează pe fiecare suprafață — dashboard, Telegram, MCP și terminalul. Când vrei să ștergi ceva, un singur „uită asta” ajunge.

Un creier de echipă care nu poate scurge nimic

Cunoștințele comune sunt distilate din conversațiile tuturor, în spatele unui filtru PII strict și al unei cozi de revizuire umană. Faptele personale sunt separate arhitectural de memoria echipei — nu pot trece dincolo, prin design.

Specialiști la cerere

Leagă o persona calibrată de service group-ul unui API și BusyBro o adoptă automat ori de câte ori acel trafic e în centrul atenției. Expertul în plăți apare la traficul de plăți — fără să fie chemat.

Onest în mod demonstrabil

Urma de activitate arată exact ce tool-uri au rulat în spatele fiecărui răspuns, iar fiecare scriere făcută de BusyBro ajunge în audit trail-ul platformei. Ai încredere pentru că poți verifica.

Modelul tău, alegerea ta

Rulează modelele Anthropic implicite, îndreaptă-l spre orice endpoint compatibil OpenAI sau adu un model local. Cheile stau în vault-ul criptat, iar memoria supraviețuiește schimbării.

How a conversation works

Ask once, it does the digging

One brain behind Telegram, the iOS app, the terminal, and your MCP-connected agents — same account, same memory, same rules.

  1. Link once

    01

    On Telegram, /login pairs the bot with your account via a short-lived code — no link, no LLM call at all. The iOS app and the bmc terminal already speak as you.

  2. Ask in plain language

    02

    Name a device by its name, PAC port, or URL; name a host; describe a bug. Attach a screenshot or a PDF on Telegram and it reads those too.

  3. Tools, not vibes

    03

    Answers come from real tool calls over your captured data — drawn from the same registry the dashboard and the MCP server consume — never from guessing at your traffic.

  4. You hold the pen

    04

    Reads flow at your role. Anything that changes state stops and shows you the exact payload first — an inline Confirm on Telegram, an action card elsewhere.

The guardrail model

Autonomy with a leash you hold

Every gate is re-checked at execution time, server-side — the model can neither grant itself a role nor press its own Confirm button.

BusyBro guardrails: what happens per class of request
You ask it to…What actually happensEnforced by
Read trafficOwner-scoped by default: it inspects your own devices' captures. Reading wider requires the devices-view capability on your real role.Row-level security plus your role — the same checks as the dashboard.
Change somethingIt stops and shows the exact change — the script body, the settings diff, the delete scope — and waits for your explicit approval.A single-use, server-side confirmation the model cannot forge or replay.
Do something admin-gradeAdmin-only tools re-resolve your current role at the moment of execution — not when you asked, and not from the chat context.Capability and admin gates re-applied at run time, defense in depth.
Touch the database directlyIt can't. Raw database and broadcast primitives are excluded from the free-text model entirely — no dashboard screen grants raw SQL, so neither does your mate.A code-level denylist between the model and the tool registry.
Handle a secretCaptured tokens and cookies are treated as secrets in its answers, and provider API keys are referenced by name only — the value never sits in chat-readable settings.The encrypted vault behind one audited decrypt boundary.
Anything at allEvery write, every denial, and every error is recorded with the surface, your role, and whether a real human tap approved it.The platform audit trail — the same one the dashboard tails live.

On your captured traffic

Things people actually ask

Each ask maps to a real, bounded tool — not a fuzzy summary of rows it never read.

How does this app's login flow work?

It deep-inspects your captured traffic for that host — the auth calls, token refresh, required headers, payload shapes — and hands back repro code with credentials treated as secrets.

What has my iPhone been doing for the last hour?

A bounded aggregation answers with top hosts and request counts — never a raw scan of your rows — then drills into the noisy host when you ask it to.

Clear the noise from that analytics host

A targeted, filtered delete — and because it mutates your data, it first shows the exact scope it would remove and waits for your confirmation.

FAQ

The questions sceptics should ask

Can it act without asking me?

Reads run freely at your role. Every write stops for an explicit confirmation — and even if you auto-approve a tool for a thread, destructive and admin-grade tools always still ask.

Does it see my whole database?

No. Raw database primitives are excluded from the model entirely, and every tool it can call runs through the same row-level security and role checks as the dashboard.

What does it remember, and can I erase it?

Personal memory is owner-scoped rows you can list, search, and delete — say 'forget that' or send /forget on Telegram to wipe it. The background memory writer can be switched off for your account.

Can my private details leak into the shared team brain?

The team store is a separate table with no user column at all, a deterministic code filter rejects names, emails, IPs, paths and token-shaped strings before anything is stored, and every candidate waits in a review queue before it becomes recallable.

Which model answers — and can we run our own?

Anthropic Claude by default, configurable per surface. Admins can point the fleet at any OpenAI-compatible endpoint or a local model — the key stays in the encrypted vault — and on non-frontier providers the tool surface automatically narrows to a read-only core.

Is there a record of what it did?

Yes — every write, denial, and error lands in the platform audit trail with the surface it came from, the role that ran it, and whether a real human tap confirmed it.

Say hi to BusyBro

Deschide busymate.ai, sau scrie-i lui @busybrobot pe Telegram și leagă-ți contul.

Ask your mate