Perplexity Open-Sources SPACE, a Firecracker MicroVM Sandbox for AI Agents
What changed
Perplexity open-sourced its sandbox platform called SPACE, which runs the environment for every AI agent task in Perplexity Computer. This sandbox uses Firecracker microVMs to isolate each agent task. Unlike traditional container or VM setups, SPACE gives each task its own lightweight Firecracker microVM with external controls on credentials and outbound network traffic. The code is available under Apache 2.0 on GitHub for teams building coding or browsing agents. This is a production-tested setup, not a proof of concept.
Why builders should care
Sandboxing AI agents is critical to limiting risk from executing arbitrary code, handling sensitive data, and managing outbound connections. SPACE’s use of Firecracker microVMs provides stronger isolation than containers with lower overhead than full VMs. Controlling credentials and network access from outside the microVM adds a secure gating layer. For teams building AI agents that need to run code or fetch live browsing data at scale, SPACE presents a hardened, battle-tested environment that reduces operational and security headaches.
The practical takeaway
Teams developing AI agents that need safe execution environments now have an off-the-shelf solution that can be deployed directly. SPACE lowers the friction and risk of building multi-agent workflows that depend on executing code or web content in isolation. It also enables tighter security for credentials and network management, which encourages building more confident AI automation in production. The Apache 2.0 license means integration into internal tools or commercial products is straightforward.
What to watch next
Observe how SPIECE adoption spreads among AI coding assistants, autonomous agents, and browsing tools. Look for how the community extends or customizes the sandbox for other risk profiles or agent styles. Pay attention to integrations with cloud platforms or security stacks that could position SPACE as a standard for secured AI task execution. How competitors respond with their own sandboxing approaches will also shape operational norms for AI agents.
AI Quick Briefs Editorial Desk