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Multi-agent system · Persistent memory · Tool-using

Not a chatbot.
A system.

Rivotics is a coordinated set of specialised agents that hold memory across every conversation, call real tools, and route work to whichever specialist should own it: automatically, without a dispatcher in the loop.

Router Chat & channels Email & inbox Schedules Research Build & ship Automations

Eight things it does without being asked twice.

It remembers

Permanent, searchable memory.

Every agent, every chat, kept and retrievable by meaning, not just keyword. Nothing gets re-explained twice.

Talk to it

One conversation, any channel.

Message, email or leave a note on Telegram, WhatsApp or Slack. Same memory, same team, same context, wherever you reach it.

Give it work

State the outcome, not the steps.

Ask for what you need the way you'd ask a colleague. The system decides how big the job is and who should run it.

Make things

Finished output, not drafts of intent.

Documents, sites, reports, images: produced and shown as they're made, not described in a summary afterward.

Make it repeat

Routines, described once.

Recurring processes set up in plain English, run on schedule, logged every time. No workflow builder to learn.

See and act

Files, inboxes, the sites you use.

Reaches your existing tools directly, with a hand-back to you the moment a login or a judgement call is needed.

Stay in control

Approvals before anything critical.

Nothing irreversible happens without a checkpoint. Credentials sit in an encrypted vault, never in plain text.

Grow the team

Describe the role, get the specialist.

When a job needs a capability the team doesn't have yet, a new agent is provisioned for it, not hand-built from zero.

Three parts, working together.

Route

Requests reach the right specialist

An entry point reads what's actually being asked and hands it to the agent built for it: research, code, design, automation, instead of one model trying to be all of them at once.

Remember

Context persists across every turn

Decisions, files and history stay attached to the work, searchable by meaning. A conversation from last month is available context, not a blank slate.

Act

Real tools, real systems

Not text generation pretending to be action. Agents call actual APIs, write actual files, run actual code: checked and reversible where it matters.

A team, not a bigger model.

Work arrives as one request and leaves as one result. In between, it is split across specialists who each do a narrow thing well.

A single general-purpose model handles every task at the same middling depth. A team doesn't: research, architecture, backend, interface, design and automation each sit with an agent built for that work, carrying its own tools, its own standards and its own accumulated memory of how you like things done.

Larger jobs get a coordinator. It breaks the work into tasks, dispatches them in parallel where they don't depend on each other, watches for failures and assembles the output. You see the progress, not the plumbing.

Narrow by design

Specialists beat generalists.

An agent with one domain and the right tools produces better work than one model asked to be everything at once.

Coordination

Big jobs get a coordinator.

Tasks are planned, dispatched in parallel, monitored and reassembled. Failures surface as questions, not silence.

Elastic

The roster grows on demand.

When a job needs a skill nobody has yet, the specialist is provisioned for it rather than built by hand.

Rivo: from the Latin rivus, a stream or channel. -tics, from robotics and informatics. Together: a continuous, directed flow of work. It moves whether or not anyone is watching it.

Questions about how it works?

Reach the team directly. One message routes to whoever can actually answer it.

info@rivotics.com ▶