The operational layer for agentic localization workflows.
You used to have to choose between clunky manual translation or an expensive, hard-to-maintain localization setup. Not anymore. wxrks for Zendesk delivers the speed of automation in a platform natively designed around LLMs and meaning, making every translated interaction feel authentic.
A CLI built for how agents actually work
wxrks makes it simple to connect your
The CLI exposes everything clearly, so agents can explore, decide, and run workflows on their own.
Built for agents that operate systems
Pull your Help Center content into wxrks and send translations back automatically, fast, and always in sync across every language.
A self-documenting interface over the wxrks API
Yes, you can translate your Help Center automatically, but what if you need to review, assign, or pay? wxrks handles that too, all in one platform.--help, understand parameters, and execute workflows without custom integrations.
Your workflows stay in your stack
Run wxrks inside CI/CD pipelines, GitHub Actions, orchestration tools, terminal sessions, or autonomous agent systems without changing how your infrastructure already works.
Operational workflows agents can execute end-to-end
The CLI exposes localization as composable operational primitives: upload, translate, review, route, publish.
Contentful → translated → published
Agents can pull content, localize it, and publish updates without humans moving files between systems.
GitHub → PR → localized docs
Documentation workflows become part of CI instead of disconnected localization tasks.
ServiceNow → multilingual operations
Support and operations teams can automatically route multilingual tickets without adding translation steps to existing processes.
Let agents decide what happens next
Some content ships automatically. Some needs review. Some requires additional context.The CLI gives agents explicit operational rules they can reason about and execute safely.
Built for agentic systems. Native to modern infrastructure.
Why agentic workflows work better with CLI
Agents operate better when workflows are explicit, composable, and self-documenting.
Deterministic Outputs
Commands return explicit success and error states agents can react to programmatically.
Self-Documenting Commands
Agents can inspect capabilities directly through --help and command metadata.
Composable Operations
Commands chain naturally across systems, enabling complex localization workflows.
Lower Context Overhead
Agents consume only the operational context they need instead of entire application interfaces.
Native to Automation
Built to run inside CI/CD pipelines, scripts, orchestration systems, and autonomous workflows.
Operational Guardrails
Explicit commands and scoped actions create safer execution boundaries for autonomous systems.
Human + Agent Collaboration
Route edge cases for review while letting agents handle repetitive operational work.
Direct API Access Patterns
The CLI exposes the real operational capabilities of wxrks in a format agents can immediately use.
Context-Sensitivity
Pass translation memories and glossaries via flags.
Ständiger Versand
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