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QoderWake lets you build a team of AI employees — called Wakers — that run directly on your machine. Each Waker has a defined role, name, persona, and area of expertise. Bring them into a conversation when you need help, or set them to work autonomously on a schedule or in response to events. Their tools, memory, accessible resources, and guardrails are all configurable.

Secure and controllable

Tool protection, file protection, and permission policies guard every action; high-risk operations need your approval.

Production-ready

Runs 7×24 on local or cloud deployment, taking on real work reliably.

Continuously evolving

Memory accumulates and skills and connectors extend on demand, so each Waker learns more about you and your project over time.
Product philosophy: 7×24 digital employees — “Always awake, always working.” Core concepts: Employee Role → Digital Employee (Agent) → Teams / Organization (Agent Teams). Initial roles: Backend Engineer, Frontend Engineer, Test Engineer, Product Manager, Data Analyst, Content Operator — plus Custom Roles.

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What type of Waker do you need

The current beta covers the following roles. Pick the one that best fits your needs:
RoleJob characteristics
Backend EngineerAPI development, data modeling, service integration, performance optimization, and production stability. Follows incremental delivery, test verification, and convention-over-configuration design. Automatically analyzes bugs / issues, fixes code, and submits PRs.
Frontend EngineerFrontend interface design and implementation. Strong in component architecture, visual polish, responsive layouts, accessibility, and performance tuning. Balances UX with engineering quality through incremental delivery and evidence-based validation.
Test EngineerQuality assurance for CLI tools and web products. Focuses on test plan documents, end-to-end testing, defect reproduction, and evidence-based reports. Does not run unit tests or fix issues directly.
Product ManagerAI-native product management for software products. Goal-driven requirement lifecycle, PRD generation, user feedback analysis, competitive research, and release communication — with explicit approval gates for any external writes.
Data AnalystAI-native data analyst covering problem framing, metric definitions, data collection through DingTalk doc / sheet MCPs, data diagnosis, market context, and evidence-based recommendations.
Content OperatorAI-native content operator covering account positioning, trend insights, content calendars, Xiaohongshu post creation, visual asset briefs, post-approval publishing, comment interaction, performance review, brand compliance, and cross-platform rewrites.
CustomDefine the work style, workflow, and capabilities of any role you need. Add MCP servers, skills, and other configurations yourself.

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Quick start

Work through these three steps to put your first Waker to work.

Installation

Install QoderWake on your machine or a cloud desktop and open the local console.

Create a Waker

Pick a role template, or define a custom role.

Assign work

Start with a conversation task, an automated task, or a group task.

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Feedback

Hit a problem or have a feature request? Click the button in the bottom-right corner of the console to submit feedback — we’ll respond and follow up as soon as possible.