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OpenClaw for Business Systems

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Clawink — OpenClaw for Business Systems 
 Turn complex business systems into an AI-operable product layer.

Connect your system · Publish executable capabilities · Let AI plan, preview, confirm, and execute real work

<a href="README.md">English</a> ·
 <a href="README_zh-CN.md">中文</a> ·
 <a href="README_ja.md">日本語</a> ·
 <a href="README_ko.md">한국어</a> ·
 <a href="README_es.md">Español</a>

<a href="#why-clawink">Why Clawink</a> ·
 <a href="#highlights">Highlights</a> ·
 <a href="#architecture">Architecture</a> ·
 <a href="#webui">WebUI</a> ·
 <a href="#from-connection-to-control">How It Works</a> ·
 <a href="#teams-and-scenarios">Teams</a> ·
 <a href="#status">Current Status</a> ·
 <a href="#roadmap">Roadmap</a> ·
 <a href="#community">Community</a>

---

## Why Clawink

Most business systems do not suffer from a lack of features. They suffer from friction.

Users often have to decode menus, flows, permissions, and operating rules before the system becomes truly usable. Clawink is designed to change that. It turns system capability into an AI-operable layer so people can move from "learn the system first" to "state the goal directly."

If your team does not have the bandwidth to build its own AI product layer from scratch, Clawink is the more pragmatic path. Connect Clawink to your existing system, and you can inherit the OpenClaw agent foundation, the planning-and-execution chain, and the extension model much faster.

Clawink is built around two coordinated rails:

- Planning rail: reads docs, structures capabilities, drafts workflows, validates them, and publishes runtime-ready assets.
- Conversation rail: consumes only published assets during live conversations instead of rebuilding the full workflow on every message.

That split is what makes Clawink more than a chat shell. It is an operating layer for real business systems.

## Highlights

If you only want the key differences first, start here:

<table>
 <tr>
 <td valign="top" width="33%">
 Dual-rail architecture 
 The planning rail produces and publishes runtime-ready assets. The conversation rail consumes only published assets instead of assembling capabilities live in the session.
 </td>
 <td valign="top" width="33%">
 Fast path for existing systems 
 You do not need to rebuild a full AI product layer from scratch. Connect Clawink to your existing system and inherit the OpenClaw core mechanisms and extension model faster.
 </td>
 <td valign="top" width="33%">
 Controlled and observable execution 
 High-risk actions follow `preview -> confirm -> submit`, while execution traces, budget hits, tool calls, and result playback stay visible.
 </td>
 </tr>
</table>

## Architecture

The planning rail and runtime rail are intentionally separated. Planning produces reviewed assets. Runtime executes only published assets under preview, confirmation, and operational guardrails.

## WebUI

Clawink ships with a full WebUI for configuring product integrations, managing model access, publishing runtime-ready capabilities and workflows, and running business conversations with execution observability.

### Product Workspace Preview

The WebUI is organized around the operational surfaces teams use every day: product capability management, workflow authoring, model routing, and channel access.

<table>
 <tr>
 <td width="50%" valign="top">
 Capability catalog 
 Review runtime-ready capabilities, inspect API bindings, risk level, confirmation policy, and request/response structure before publishing them for conversation execution.
 </td>
 <td width="50%" valign="top">
 Workflow Studio 
 Design multi-step workflows with API nodes, confirmation nodes, execution metadata, and field mappings so write operations stay explicit and controllable.
 </td>
 </tr>
 <tr>
 <td width="50%" valign="top">
 <img src="assets/clawink_capability.png" alt="Clawink capability catalog" width="100%" />
 </td>
 <td width="50%" valign="top">
 <img src="assets/clawink_workflow.png" alt="Clawink Workflow Studio" width="100%" />
 </td>
 </tr>
 <tr>
 <td width="50%" valign="top">
 Model configuration 
 Manage providers and models through the AI Gateway, switch the system model, and keep model routing independent from business runtime configuration.
 </td>
 <td width="50%" valign="top">
 Channel access 
 Connect WeChat, Feishu, and other channels so the same conversation control loop can serve Web and external messaging users consistently.
 </td>
 </tr>
 <tr>
 <td width="50%" valign="top">
 <img src="assets/clawink_models.png" alt="Clawink model configuration" width="100%" />
 </td>
 <td width="50%" valign="top">
 <img src="assets/clawink_channel.png" alt="Clawink channel access" width="100%" />
 </td>
 </tr>
</table>

## From Connection To Control

1. **Connect the system**: import Swagger, OpenAPI, or Markdown, then complete auth so Clawink can access real capabilities.
2. **Publish operational assets**: turn APIs, page actions, and business dependencies into workflow and capability assets, then publish them as runtime-ready assets.
3. **Let AI operate it**: users speak in goals, and Clawink handles routing, preview, confirmation, execution, and result shaping.

## What You Actually Get

- **An AI workspace that can take over business systems**: connection, planning, runtime execution, auth, observability, and governance live on one operating surface.
- **A product layer for real end users**: users state goals, and Clawink turns them into system queries, executions, and results.
- **An operations console for business teams**: planning output becomes workflows, capability assets, publish states, and execution logs instead of one-off prompt output.
- **A stable base for engineering teams**: add models, Skills, MCP, and integrations without rewriting the main execution chain.

## Teams And Scenarios

- **Product teams**: turning a traditional back office, internal tool, or SaaS product into a truly conversational and executable AI product.
- **Teams with complex system UX**: letting users express business goals directly instead of learning complicated menus, flows, and operating rules.
- **Platform and integration teams**: consolidating multiple systems, admin panels, and API surfaces into one AI operation entry.
- **Execution-oriented product teams**: moving AI beyond explanation into real querying, previewing, confirming, and executing.
- **Delivery and governance teams**: keeping risk control, auth management, execution visibility, and auditability while AI performs business work.

## Current Status

This repository is the public preview for Clawink.

- It currently publishes product overview, architecture, roadmap, and brand assets.
- Core runtime and product code are still private while the product model is being stabilized.
- Public code release will happen in staged drops through a one-way sync process from the internal repository.

Clawink is being prepared as an open project, but this repository is not yet the full public code release.

## Roadmap

The open-source rollout is intentionally staged:

1. Preview repository: README, architecture, roadmap, and brand assets.
2. Public core slice: selected runtime modules, packaging, and minimal developer workflow.
3. Public extension surface: selected Skills, integration examples, and docs for external contributors.
4. Broader release: expanded runtime modules, stronger CI, and a clearer community contribution path.

See [ROADMAP.md](ROADMAP.md) for the current release path.

## Community

- Watch this repository for public release milestones.
- Use Issues and Discussions to share scenarios, integration needs, and feedback.
- See [CONTRIBUTING.md](CONTRIBUTING.md) for the current preview-stage collaboration rules.
- Follow [SECURITY.md](SECURITY.md) for private security reporting.
- Follow the roadmap before planning production adoption.

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