Isolated compute per task
Every task boots its own Linux VM. Agents share nothing with the run beside them, and the machine is destroyed when the work is done.
How it works
From Linear, Slack, GitHub, GitLab, or the dashboard. No new workflow.
Claude Code, Codex, Cursor, or Opencode — each in its own Linux VM.
A pull request, a reply, a recording. Merge it, comment on it, or send it again.
Enterprise platform
Agents never touch a shared machine, and the environment they get is the one your admins defined.
Every task boots its own Linux VM. Agents share nothing with the run beside them, and the machine is destroyed when the work is done.
Warm hooks, credentials, MCP servers, and skills are configured once at the organization level, then inherited by every agent your team starts.
Enterprise grade security
Start on Replicas cloud, move to a dedicated single-tenant deployment, or run the platform inside your own infrastructure.
Decide what is kept after a workspace sleeps, which agents and models are allowed, and where inference is billed.
The controls a security review asks for are part of the product, not a services engagement.

“Replicas completely changed the way we run engineering at Knowunity by allowing engineers to trigger cloud agents from anywhere, like Slack, Linear, or with automations.”
~50%
of pull requests produced by Replicas
3M+
minutes running coding agents
50k+
coding agents ran
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