Digital assistants, built and owned by you

AI Agents that finish the work.

Build an agent with a role, a goal and real tools. It remembers your context, runs workflows on a schedule, and can take a whole shift on its own, then reports back. For yourself, or your whole team.

Chat

Talk to it like a specialist who already knows the context.

Tasks

Describe a job once. It plans the steps and runs them on a schedule.

Shifts

Give it a goal and a window. It takes the whole shift.

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Inside Parasync

One workspace for every agent you run.

Your agents live in one list. Open one and talk to it, or hand it work that carries on without you.

Beyond the chat

Work that carries on when you've closed the tab.

Planned by AI, run by the platform, and shown step by step in the Runsheet.

01

Tasks

Describe a job in a sentence. A planner turns it into a chain of steps, tests what it can, and saves it.

One-off or recurring · Every step recorded · Failed steps retried and repaired

Check the current inventory for Surat and Pune, and email a summary of what needs reordering to the store managers.

RunningCron · 0 9 * * 1-5
EditRetire
inventoryTool · 6.4s
low_stockTool · 1.8s
summaryLLM
emailTool
notifyDelivery
Running step 3 of 5Collapse
02

Shifts

A shift isn't a script. Give the agent a goal and a time window and it decides what to check, when to look again and when to act.

Runs inside your window · Wakes itself when needed · Ends with a report

Inventory monitor

ShiftRunning now

10:00–12:00 · Mon–Fri · 4 scheduled wakes · Asia/Kolkata

Keep Surat and Pune stocked. Watch levels through the morning, raise purchase orders for anything below threshold, and report what was done and why.

View live runTerminate
10:00Start
10:00First wake
10:40Wake
11:15Wake
11:40Closing wake
12:00End
Running · working on Wake 11:15Collapse

What it actually does

Not a chatbot. A capability that keeps working.

An agent never sleeps: it remembers every detail, handles the work you'd rather not repeat, and gets sharper every time you use it.

Build and own

Give an agent a role, a goal and a toolbelt. It is yours the moment you save it: your organization, your data, your rules.

Works on its own

Recurring tasks fire on their schedule and shifts run inside a window you choose. Results land on a notification feed, not in your conversation.

Remembers what matters

Facts, preferences and context carry forward instead of starting from zero each time you talk to it.

Builds its own shortcuts

When it notices it keeps doing the same work, it saves it as a reusable tool and gets faster the more you rely on it.

Bring your own keys

Share one agent with your team. Everyone connects with their own credentials, and nobody's key is ever anyone else's to see.

Plugs into your real tools

Runs code in a sandbox, browses the web, sends email and reaches your databases and APIs. A real workspace behind it, not just a chat window.

Getting started

From idea to a working agent in three steps.

01

Set up your workspace

Create an organization for your team, agency or your own projects. Every agent lives inside one, with scoped ownership.

02

Build your agent

Give it a role, a goal and instructions in plain English, then connect the tools and keys it should be able to use.

03

Put it to work

Chat with it, hand it a recurring task, or send it on a shift. Watch every step, and read the report.

Security & trust

Access and data control, kept deliberately separate.

Pausing a connection never touches history. Deleting your own data is the one thing only you can do.

Read our security overview

Isolated by design

Every organization, agent and connection is scoped and access-controlled at the database layer.

Secrets the model never sees

Keys are encrypted at rest. Agents use them through a broker, so the value is never put in front of the model.

Sandboxed execution

Code runs in isolated, short-lived environments rather than on shared servers.

Your keys, your data

Connected people bring their own credentials. Nobody's key is ever anyone else's to see.

Questions

Things people ask first.

Something we didn't cover? Get in touch.

How is an agent different from a chatbot?

A chatbot answers. An agent acts: it runs code, queries your data, sends email and browses the web with tools you grant it, keeps memory between conversations, and can work in the background on a schedule or for a whole shift without you in the chat.

Do I need to write code?

No. You describe the role, the goal and the instructions in plain English, and connect the tools you want it to use. If you want a custom tool of your own there is a builder for that, but it is optional.

What can a shift do that a task can't?

A task is a workflow planned once and run the same way each time. A shift is open-ended: you give the agent a goal and a time window, and it decides what to look at, when to look again and when to act, then files a report when the window closes.

Who can see my keys and data?

Keys are encrypted at rest and agents use them without the model ever being shown the value. Access is scoped to your organization at the database layer, and every connected person supplies their own credentials.

Can my team share one agent?

Yes. Invite people to a private agent and one subscription covers everyone connected to it. Each person brings their own keys and keeps their own conversations and workspace.

What happens if my balance runs out?

The agent pauses instead of spending, and you are told. Chat stops responding, scheduled tasks skip their runs and shifts skip their wakes, and everything picks up again once you add funds.

Ready when you are

Put your first agent to work.

Build it in minutes. Start with a conversation, and let it grow into the specialist that handles the rest.