Installation
Install the Node runtime:npm install @struktoai/mirage-node and yarn add @struktoai/mirage-node work too.
Create a Workspace
Start with the RAM resource so you can try Mirage without credentials.Run Commands
Once a resource is mounted, you can use Mirage like a shell over your virtual filesystem:Output Safeguards
To keep huge reads from flooding an agent,cat, grep, rg, head,
and tail cap their final output at 2000 lines by default. When a
cap fires, the agent sees the truncated bytes plus a stderr notice
(output truncated at safeguard limit (2000 lines); ...); the exit code
stays 0.
Caps fire only on the terminal command of a pipeline, so
cat big.txt | head -n 30 still shows 30 lines.
Configure per mount
Pass acommandSafeguards option keyed by mount prefix, then command.
Each CommandSafeguard sets maxLines / maxBytes (output cap) and/or
timeoutSeconds (deadline); onExceed is TRUNCATE (default, exit 0
plus notice) or ERROR (exit 1 plus notice):
command_safeguards block in the workspace YAML.
Next Steps
- See TypeScript Installation for optional native peers (FUSE, Redis, Postgres, MongoDB, SSH, Email).
- Browse TypeScript Agents to wire Mirage into OpenAI Agents SDK, Vercel AI SDK, LangChain, Mastra, and more.
- Pick a real backend from the Resources section, such as S3, Slack, or Discord.