Field noteOct 19, 20261 min read1 source

Perplexity open-sourced the sandbox that keeps its AI agents boxed in : in Perplexity's own testing, agents failed to escape it in 108 tries, though some slipped past its network rules before a fix.

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Perplexity’s SPACE release makes the runtime boundary inspectable: the company has open-sourced the sandbox platform it says supports agent work in Computer.

It describes each sandbox as a small virtual machine with its own operating system, alongside isolation, state recovery, and credential and network controls.

Agent security depends on enforceable runtime boundaries, not solely on model instructions. A separate virtual machine and controls around files, credentials, and network access constrain what agent-generated code can touch, while pause, resume, and recovery preserve work across interruptions. As agents handle longer tasks and interact with files and tools, teams need controls that still apply when a model behaves unexpectedly. Perplexity reports that agents did not escape the guest machine in 108 attempts, but some bypassed network rules before a fix.

Builders can inspect and adapt an implementation instead of recreating sandbox infrastructure, but must validate whether it fits their own threat model. Independent testing should examine escape resistance and network controls under realistic workloads. The release and test results are described by Perplexity; the supplied source does not establish independent validation, nor that open-sourcing alone makes deployments secure.

Evidence / sources

  1. 1perplexity.ai/hub/blog/open-sourcing-space
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