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SPACE by Perplexity
SPACE gives an application Linux workspaces in Firecracker microVMs where it can run agent or user code. Its HTTP API manages the environments and returns command output.
The public repository includes the platform source, deployment instructions and a first-command walkthrough. It is infrastructure for builders who will operate an execution service. Use this as a first read, not a recommendation. Open the original project before trusting details like terms, limits, privacy, cost, setup, or safety.
What it is
A place for application code to run
SPACE stands for Sandboxed Platform for Agentic Code Execution. An application chooses the work; SPACE supplies a workspace, starts its processes and carries their output back.
Why it stands out
A workspace can span several commands
Commands can share one sandbox and its writable filesystem. The environment has its own lifecycle, separate from an individual command or output connection.
Availability
Source and deployment guides
The repository declares Apache-2.0 for the code; see it for current terms. The versioning guide describes a public baseline before 1.0, with further API refinement planned.
Why it matters
What makes it useful
A coding assistant may need to write a file, run a tool against it and inspect the result. SPACE lets the application run those steps in one environment, so the next command can use files left by the previous one. The application still chooses the commands and which results to retain.
What to know
Where it fits
SPACE sits behind your application. A template provides the starting environment; your client creates a sandbox, waits for readiness, then opens a command session. The first-sandbox guide includes a Python example using only the standard library, after the platform has been deployed and authenticated.
Notable points
What stands out
Pause and suspend preserve the workspace differently. The architecture guide says pause keeps memory on the worker and is not a durable snapshot. Suspend records memory, runtime state and the root filesystem, releasing active VM resources. Both require a wake and readiness check before another command. This distinction matters when deciding how a workspace should wait between jobs.
Before using
What to review
The local installation guide requires an apt-based Linux x86_64 host, KVM, specific host devices, btrfs support and Docker with privileged-container access. Its walkthrough uses a Kind Kubernetes cluster.
That local guide uses development credentials and signing keys; it says to keep the deployment private and avoid production credentials. Host services also need privileges to manage VMs, storage and networking.
The versioning guide reserves stable service contracts for 1.0. Review its current compatibility and upgrade guidance before depending on an API or restoring retained workspaces.
Reader fit
Who may find it relevant
Relevant to application and infrastructure builders who need to run code on behalf of agents or users and can manage Linux virtualization. For a first evaluation, the official create-run-delete walkthrough shows the client work as well as the deployment it depends on.
Editorial note
Why LifeHubber lists it
We list SPACE because an agent's execution needs can continue after one command finishes. Its separate workspace and command lifecycles make that boundary explicit: finishing a process leaves a decision about keeping, suspending or deleting the environment. For builders planning repeated work, that is a useful way to think about who owns the workspace between requests, rather than treating each returned output as the end of the job.
Source links
Source materials
Reader note
Before relying on this entry
LifeHubber lists entries to help readers inspect AI projects, not to endorse them or prove they are safe, suitable, accurate, maintained, or right for a specific use. We do not verify every entry in depth. Before relying on anything listed, review the original materials, terms, privacy practices, limits, and risks that matter for your situation.
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