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Computer Agents

Agentic compute platform giving each agent a persistent cloud computer, projects, memory, skills and subagents

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freemiumA subscription unlocks the platform and usage is metered separately in USD with included credits applied first; monthly and yearly billing are both offered. Sandbox is $0/month with a $1 one-time usage credit, a default agent and files, one constrained cloud computer, and run estimates and usage history. Builder is $24/month with a $5 monthly usage credit, custom agents and Projects, Imagine and Metronome workflows, evaluations, guardrails and fine-tuning, cloud computers and developer resources, plus tags, schedules and API access. Team is $79/month with a $15 pooled monthly credit, three builder seats, unlimited operators and viewers, shared agents/projects/computers, squads, roles and pooled billing, bring-your-own inference endpoint, and additional builder seats at $15/month. Business is $249/month with a $40 pooled credit, ten builder seats, audit logs and approval policies, SAML SSO and SCIM, service accounts and org analytics, priority support, and extra seats at $12/month. Enterprise is quoted separately.View full pricing →

Visit Computer Agents

https://computer-agents.com

About Computer Agents

Computer Agents is an agentic compute platform whose organising idea is that an agent should be given a computer, a plan and the tools to finish the work — not just a chat box. Each agent gets a persistent cloud computer along with project tasks, memory, files, skills, subagents and deployment targets, so it can be run the way you would run a team member rather than a prompt. Projects are the coordination layer: you plan work, assign it, review what came back and ship it, with tags, schedules and API access wired through. The product surfaces span a range of jobs — deep web research agents, web app prototyping and deployment, servers for functions, databases and APIs, presentation and deck generation, and marketing, product and R&D workflows that chain research, specs, prototypes and launches. Access is through the web platform, native iOS and Mac apps, a cloud API, and Python and TypeScript SDKs, plus an ACP interface and an integrations layer for connecting existing tools. Governance features matter at the higher tiers: evaluations, guardrails and fine-tuning at the builder level, then audit logs, approval policies, SAML SSO, SCIM and service accounts for production use. Billing separates platform access from consumption — subscriptions unlock products, collaboration and governance, while managed models, computers, media, tools and infrastructure are metered in USD with included credits applied first.

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Key Features

Persistent cloud computer per agent with memory, files, skills and subagents
Projects for planning, assigning, reviewing and shipping agent work
Deep web research agents and web app prototyping and deployment
Servers for functions, databases and APIs
iOS and Mac apps plus a cloud API and Python/TypeScript SDKs
Audit logs, approval policies, SAML SSO and SCIM on Business

Computer Agents Pros & Cons

Pros

  • +Bring-your-own inference endpoint from the Team tier avoids double-paying for models
  • +Sandbox tier lets you evaluate the platform for free
  • +Unlimited operator and viewer seats keeps team costs down

⚠️ Cons

  • Subscription plus metered usage makes total cost hard to predict
  • Included credits are small relative to the subscription price
  • Very broad product surface — depth per workflow is unproven

Tags

agentscloud-computerresearchdeploymentsdkgovernance
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