Agents with Integrationsthat do work.

Helios agents run around the clock — on schedules, on events, on demand. Each one gets a full cloud computer, the complete APIs of your tools, and memory that carries between runs.

  • SOC 2 Type II
  • SSO, roles & audit
every Monday 9:00am

Every Monday morning, read last week's support conversations, group them into themes, and post a digest to #support-leads with the three issues worth fixing.

  1. plain·list threads · last 7 days
  2. postgres·join accounts on customer_id
  3. code·run cluster-themes.ts
  4. slack·post digest to #support-leads

Weekly support digest posted

  • 142 conversations · 6 recurring themes
  • Top theme: invoice confusion (31 threads, 4 enterprise accounts)
  • Draft fix proposals attached as digest.md

Reach

Agents that reach everything you work in.

One task can move between your CRM, your warehouse, and a tool you wired up yourself — inside a single run.

The full API of every tool

Agents search the entire OpenAPI spec of a connected service at run time and call whichever endpoint the task needs. Credentials stay server-side.

Browse integrations

Your databases, directly

Connect Postgres, MySQL, or ClickHouse — through an SSH tunnel when you need one — and let an agent query the numbers itself, the moment the task calls for them.

Connect a database

Anything with an MCP server

Attach an MCP server and its tools join your agents' toolbox. Helios speaks MCP outward too, so your own clients can drive Helios agents.

Explore MCP
daily 7:00am

Reconcile yesterday's failed payments: pull them from Stripe, check what each customer owes in our warehouse, and open a thread in #billing for anyone above $1,000.

  1. stripe·list charges · status=failed
  2. clickhouse·query outstanding_balance by account
  3. mcp · internal-billing·check dunning eligibility
  4. slack·open thread in #billing

9 failed payments reconciled

  • 3 accounts above $1,000 — thread opened with owner tagged
  • 6 retried automatically, no action needed

Memory

Every run makes the next one sharper.

Context, files, and learnings carry across runs, so an agent picks up exactly where it left off — and gets better at the task the longer it holds it.

What it learned
Corrections, preferences, and the shape of your data stick. Tell an agent once that enterprise accounts route to the on-call lead, and every future run knows it.
The files it made
Each agent keeps a persistent workspace. Yesterday's export, script, and report are still there tomorrow, ready to build on.
The context you pinned
Pin a GitHub repository as a scoped resource and the agent treats it as standing context on every run.
every Friday 4:00pm

Run the churn-risk review again for this week.

  1. memory·recall scoring rules from 12 prior runs
  2. workspace·read churn-model.ts
  3. postgres·query usage · trailing 30 days
  4. attio·update 4 records · risk tier

Churn watchlist refreshed

  • Reused last week's thresholds — no re-briefing needed
  • 2 accounts escalated, 1 recovered since last run

Controls

Everyone can delegate. IT stays in control.

Hand work to agents across the company while identity, access, and audit stay where your security review expects them.

SSO

SAML and OIDC single sign-on with your existing identity provider.

SCIM provisioning

Accounts and group membership sync from your directory, joiners through leavers.

Roles

Admin, member, and viewer roles at the organization level, with resource-level access on top.

Sandbox isolation

Every agent run executes in its own cloud sandbox, isolated from your infrastructure and from other runs.

Encrypted secrets

AES-256-GCM envelope encryption, each secret under its own key wrapped by AWS KMS. Scoped credentials attach at the egress layer, so the model never handles a raw key.

Signed webhooks

Inbound webhook triggers are signature-verified, and secrets rotate on demand.

SOC 2 Type II

Independently audited controls covering security, availability, and confidentiality.

Usage limits

Usage-based credits with organization limits, so a runaway task stays a small one.

Run history

Every run keeps its trigger, tool calls, and output as a durable audit trail.

How it works

Hand off the task once.

An agent takes a plain-English brief and does the work — in chat, on a trigger, or straight from Slack.

  1. 01

    Describe the task

    Write what you want done in plain English, the way you would brief a new teammate. Name the tools it should use and the shape of the output you want back.

  2. 02

    The agent gets a computer and your tools

    Helios starts an isolated cloud sandbox with code execution, a file system, and web access, then hands the agent the complete APIs of every tool your team has connected.

  3. 03

    Run it now, or forever

    Ask in chat when you need something now, or put the same agent on a schedule, a signed webhook, or an event from GitHub, Slack, or Plain. It answers wherever you call it — the app, Slack, or your own MCP client.

Frequently asked questions

Put an agent on the task today.

Start free, describe the first task in plain English, and watch it run. Bring your team when you are ready — SSO, roles, and audit are waiting.