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Run all your agents in parallel. Multiply your output.

Your own fleet of agents, interconnected across all your tasks, solo or as a team.

The Hecaton desktop interface showing the “Runner label audit” workspace: a conversation with an AI coding agent, the file changes panel and a Create PR button.

Stop throttling your delivery.

Solo or as a team, on one project or ten, one secure control tower available 24/7 to put your agents to work.

The shift

AI unlocks enormous productivity. The wrong tools cap it.

2025

One agent, one task, capped fast

  • One run at a time. You launch an agent, then wait for it to finish before you can move on.
  • They step on each other. Launch several at once: they write to the same files, on the same branch.
  • Dependent on your machine. CPU, memory, OS: everything is capped by the power of the machine you are using.
  • No shared environment. What runs on your desktop isn't on your phone: switch devices and you start from scratch.
2026

A fleet of agents per person, in parallel

  • A fleet per person. Your agents run in parallel: your throughput is no longer limited to one run at a time.
  • Each in its own isolated space. Every agent gets its own worktree and branch, so they run together without ever stepping on each other.
  • Cloud power, no ceiling. Scale CPU and memory on demand, far beyond anything your local machine can offer.
  • Anywhere, desktop or phone. Everything lives in your Hecaton: the same environment follows you from one device to another, so you can pick up wherever you want.
Why Hecaton

Built to maximize your output

You run a fleet of agents in parallel: your output is no longer limited by the number of runs one person can monitor. Solo, or across a whole team.

01Unlimited cloud power

A dev machine with no ceiling

Need 40 GB of RAM for a build your laptop cannot touch? Spin it up. Scale CPU and memory past anything local.

02Any OS

One environment, all OSes

The same cloud dev environment on Mac, Windows or Linux. No more "it works on my machine", no more configuration drift across the team.

03Multi-model

All AI agents, in one place

Claude Code, Codex, Mistral... Choose the best agent for each task, with no lock-in, on the subscriptions you already have.

04Always on

Close the laptop, keep shipping

Agents run in the cloud, not on a device. Start a run, walk away, pick it up later from any device. It never stopped.

Internal MCP

Every project, every agent, natively connected

A built-in MCP connects every project and agent in your account. An orchestrator can reach across projects, create agents and collect their results: the whole fleet moves as one, with nothing to install or host.

  • Agents that delegate

    Drive a single orchestrator: it creates child agents, assigns them tasks, messages them and collects their results. Large jobs are distributed across the whole fleet in parallel.

  • Connected across projects

    The internal MCP connects every project in your account, so an agent can coordinate work across several repositories, not just the one where it started.

  • Built in, nothing to host

    The MCP is wired into every agent when its runner starts. No server to run or glue code to maintain.

Features

Everything you need to run your agents in parallel

  • Isolated workspaces

    Each task gets its own git worktree, branch and chat history, so you can launch a dozen at once.

  • Real-time control

    Watch your agents think live and steer them without interrupting the run.

  • GitHub, integrated

    Automatic PR status, multi-account support, diffs and commits in-app.

  • Extend with MCP

    Linear, a built-in browser or your own MCP servers, connected in a few clicks.

  • Scheduled agents

    Run a prompt on a schedule, recurring checks and reports.

  • Webhook automation

    Trigger agent runs from events.

Anywhere

Build from any device

Your work lives on the web and is there as soon as you open a browser. Nothing to install or sync. Use a computer, tablet or phone and pick up the same workspaces.

  • Instant, nothing to install

    Open a browser and your projects are already there. No local setup or toolchain.

  • Code right in the browser

    A complete cloud dev machine in the tab: terminal, files, diffs and live preview. Everything you would open locally, with nothing on your machine.

  • Every screen, in sync

    Computer, tablet and phone all access the same workspaces in real time. Start a run on one and pick it up on another.

Monitoring

See exactly what your Hecaton is doing

Server monitoring

Real-time metrics

Live CPU, memory and disk for your active runners. See what every running agent consumes and catch a heavy build before it stalls.

  • Live CPU, memory and disk for each active workspace
  • Spot the agent consuming your resources, then give it more or rein it in
  • Scale past any laptop, with no server to manage yourself
API mode

Every token, tracked down to the agent

In API mode you bring your own provider keys and pay per token at cost, so Hecaton shows you exactly where the spend goes: by model, by agent, by workspace. No markup, no surprise at the end of the month.

  • Usage and cost broken down by model, agent and workspace
  • Input, output and cache tokens, so you see what really drives the bill
  • You pay your provider directly at cost, Hecaton just makes it clear
Subscription mode

Stay ahead of every usage window

On a subscription plan you do not pay per token, you work within rolling usage windows. Hecaton tracks every window across your plans, how much is left and when it resets, so no agent stalls on a limit you did not see coming.

  • Session and weekly windows tracked live for each subscription
  • See how much of each window is left and exactly when it resets
  • Catch a window running low before it throttles a running agent
Beyond code

Not just code: every document, every deck

Document viewer

Your deliverables open where the work happens

PDFs, Markdown, images, screenshots: read everything directly in Hecaton, next to the conversation and the changes. Review a report, proofread a spec or show a screenshot with no download, no friction and no lost context.

  • Crisp, page-by-page PDF reports, ready for client review
  • Cleanly rendered Markdown specs, with headings, tables and code
  • Images and screenshots visible in the right place, so you decide faster
Slides on demand

Turn what you see into a deck, just by prompting

Right below the slide you are viewing, prompt the agent to refine it or build the next one. Drop in a screenshot, a chart or a snippet of a document and it becomes a slide. Your deck takes shape one prompt at a time.

  • A deck ready for your clients, without leaving your work
  • From first draft to a deck that convinces, slide by slide
  • Your reports, charts and screenshots become slides
Preview and QA

Watch the app run

Live preview

Share your work with a simple link

Every project runs live at an address you can open and share in one click. Send the link to a client or a teammate, open it on a computer or on a phone: everyone sees the real product. Nothing to install, no deployment to wait for.

  • A live link for every project, ready to share
  • Open it on a computer or on a phone, send it to anyone
  • The real product in front of you, not a description
Automated QA

Your agents test the app, screenshots included

Ask for a QA pass: an agent walks through your app the way a customer would, screen by screen. It brings every screenshot back into the conversation, then tells you clearly what works and what gets stuck. You spot problems before your customers do.

  • An agent walks the journey for you, step by step
  • Every screen comes back as a screenshot in the chat
  • A clear verdict before your customers see it

Your account, your credentials, your data.

Servers hosted in France

Hosted on our own infrastructure in France. Your data and code stay in the EU, never mixed with another customer's. No infrastructure to manage.

Complete isolation of your data

Every environment is fully isolated. Your code and data are never shared or mixed with another customer's.

Bring your own provider keys

Connect provider API keys or supported subscriptions. Credentials are encrypted at rest and sent only to the isolated runner that needs them.

Zero setup

From signup to a complete dev environment, in one click

Nothing to install or configure. Free compute is enabled as soon as you sign up. Your first explicit agent action starts an isolated runner on demand.

  1. 01

    Create an account

  2. 02

    Your account is ready

  3. 03

    One click, you code

Pricing

2 GiB free, no card required

Every account uses the same free plan. An administrator may occasionally gift additional RAM.

No card required

Free

€0/month

A real cloud environment for running your first agents.

  • 2 GiB of concurrent RAM included with no time limit
  • As many workspaces as you like within that allocation
  • Isolated gVisor runners started on demand
  • Claude Code, Codex and other agents in one place
  • Projects, conversations and history retained
  • Sovereign hosting in France
Start free

LLM usage is not included. Connect your own provider API keys or a supported provider subscription.

Contact

Need a demo?

Frequently asked questions

What is Hecaton?

Hecaton is a managed cloud that runs AI coding agents in parallel. Each task has its own git worktree and branch, and compute runs in an isolated gVisor runner started by an explicit action. The app is available from any device and agents keep running after you close your laptop.

How is this different from running an agent locally?

Locally, agents compete for one machine. Hecaton starts isolated cloud runners for the tasks you launch, lets you steer them live and keeps them running after you close your laptop.

Which agents and models can I use?

Hecaton is model-agnostic. It runs Claude Code (Anthropic), Codex (OpenAI) and more side by side, so you can pick the best agent for each task, with no lock-in.

Do I need my own API keys?

You can connect your own API keys, or use supported provider subscriptions such as ChatGPT or Claude. Credentials are encrypted at rest and staged only into the runner that needs them. Hecaton does not add a markup to provider usage.

Where is my data hosted?

On infrastructure in France (Scaleway Kubernetes, fr-par). Product data is user-scoped in the managed database; code executes in isolated runners and durable workspace snapshots are scoped to their owner.

How are my workspaces isolated from other customers?

Each active workspace runs in its own non-root gVisor Pod with restrictive NetworkPolicies and no product database credential. Product records are scoped server-side to the authenticated user, and snapshots use owner-scoped object paths.

Can I use it from my phone and close my laptop mid-run?

Yes. app.hecaton.io works from desktop or phone with no VPN. Agents run in the cloud, so you can close the laptop and continue later from another device.

How much does it cost?

Hecaton is currently free and includes 2 GiB of concurrent RAM with no card required. An administrator can gift additional RAM. Each runner can use up to 28 GiB. Provider usage remains billed through the credentials or provider subscription you connect.

Is Hecaton open source?

Hecaton is a commercial managed service, not an open-source project. The coding agents it runs, such as Claude Code or Codex, are third-party tools you bring with your own keys. You can connect your own MCP servers and skills. Your code and full git history stay yours to export at any time, so there is no lock-in.

Is my code used to train AI models?

No. Hecaton does not use your code or prompts to train models. Prompts are sent to the provider you connect under that provider's terms, from the isolated runner executing your task.

Can I use my existing AI subscription instead of API keys?

Yes. Hecaton supports two modes. In API mode you bring your own provider keys and pay per token at cost. In subscription mode you connect an existing plan and work within its usage windows. The app tracks usage, cost and remaining limits for both, broken down by model and by agent.

How quickly can I get started?

As soon as your account is created, the app is ready. Nothing is prewarmed by simply opening a workspace: your first explicit message or terminal action starts the isolated runner it needs.