Persistent cloud workspaces
Each octo works in its own folder on a cloud computer and keeps the conversation and files available between requests. Machines can sleep when idle and wake for a new message.
Octomind Cloud runs AI agents on persistent cloud machines for research, writing, web work, software development, and scheduled routines. Users give instructions in plain language and can receive results through the web panel, Telegram, WhatsApp, or Slack.
Octomind Cloud is a hosted AI agent workspace built around persistent cloud machines. Users describe work in plain language and agents can browse the web, run code, create files, produce media, or operate a development environment. Each octo has its own folder and retains working context between requests.
The service handles both one-off jobs and scheduled routines. Results can appear in the web panel or arrive through Telegram, WhatsApp, or Slack. Depending on the task, outputs may include a sourced report, a generated video, a live public URL, files in cloud storage, or a running example application.
Octomind selects a suitable specialist agent for the request. The documented roles cover research, writing, SEO, data analysis, software development, product management, meeting notes, translation, inbox triage, and other domains.
Each octo works in its own folder on a cloud computer and keeps the conversation and files available between requests. Machines can sleep when idle and wake for a new message.
Run a task once or turn it into a recurring routine, such as a weekday brief, weekly report, competitor check, or scheduled content workflow.
Agents can research online, browse live websites, write and run code, create files, and work in a development machine with a full shell, sudo, and Docker.
Octomind chooses a relevant specialist for the request, including roles for research, blog writing, social posts, email, SEO, data, development, product, translation, and inbox triage.
Users can send instructions and receive results in the web panel or through linked Telegram, WhatsApp, and Slack conversations. The service can report only when a scheduled check finds a change.
Paid plans include published cloud-machine and model usage allowances. The pricing page states that models are billed at the provider price plus 5%, with live usage visibility and prepaid credits after the allowance is used.
Ask the Researcher to investigate a topic online, save the answer, key facts, and sources to a report file, and provide a shorter summary in chat.
Have an agent create a one-page site and return a live link, draft blog or social content, or prepare an email sequence from a plain-language brief.
Schedule checks of competitor pricing pages or industry developments and receive a concise message when prices, plans, wording, or relevant news changes.
Use the Dev box workflow to configure a machine, create a small example web application, run it, and explain what to try next.
Give an agent spreadsheets, transcripts, or inbox material to analyze, turn into decisions and action owners, flag messages that need attention, or draft replies for review.
The documented workflows include web research, report writing, live website creation, video generation, software development, competitor monitoring, content ideation, SEO audits, spreadsheet analysis, meeting notes, translation, and inbox triage. Exact results depend on the request and the selected model or specialist.
Yes. A one-off response can be turned into a routine, with examples including daily or weekday briefs, Monday competitor checks, and Friday weekly reports. Routines can be paused or run again from chat.
Results can be viewed in the web panel and delivered through linked Telegram, WhatsApp, or Slack conversations. Other outputs can include files, generated media, and live URLs for applications or websites.
The Cloud landing page states that there is nothing to install and that the service can be working in about 60 seconds. Octomind also offers a separate local hub and CLI for users who prefer to run the runtime on their own hardware.
The pricing page lists Pro at $50 per month, Max at $200 per month, and Team at $500 per month, with a displayed launch offer reducing the first month to $20, $80, and $200 respectively. A free hub supports pay-as-you-go use from prepaid credits; cloud features are added on paid plans.
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