DingTalk-Real-AI

DingTalk Workspace is an officially open-sourced cross-platform CLI tool from DingTalk. It unifies DingTalk’s full suite of product capabilities into a single package, is designed for both human users and AI agent scenarios.

429
10
100% credibility
Found Mar 27, 2026 at 430 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

A user-friendly command-line tool for accessing DingTalk Workspace features like contacts, calendars, todos, and attendance, optimized for both humans and AI agents with structured JSON outputs.

How It Works

1
🔍 Discover DingTalk Workspace Helper

You find this handy tool on GitHub that makes managing your DingTalk work apps super easy for daily tasks and AI helpers.

2
📥 Install with One Click

Run a simple script and it automatically downloads everything you need, no tech setup required.

3
⚙️ Set Up Your DingTalk App

Create a free app in your DingTalk developer dashboard, add a simple web address, and publish it.

4
Join the Helper Group

Scan a QR code to join the official group where they quickly approve your app for full access.

5
🔐 Connect Your Account

Run a login command, scan the QR code on your phone, and securely link your DingTalk workspace.

6
📱 Start Managing Tasks

Search contacts, check calendars, create to-dos, or track attendance with simple everyday commands.

🎉 Workspace at Your Fingertips

Everything flows smoothly—handle your work apps effortlessly, and even let AI assistants take over routine chores.

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Star Growth

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AI-Generated Review

What is dingtalk-workspace-cli?

DingTalk Workspace CLI (dws) is an officially open-sourced, cross-platform Go CLI that unifies DingTalk's full suite of product capabilities—like contacts, chat, calendar, todos, attendance, and approvals—into a single package. It lets you manage DingTalk Workspace via simple commands with structured JSON output, dry-run previews, and table views, solving the pain of scattered APIs and boilerplate auth. Designed for both human users scripting workflows and AI agent scenarios, it installs agent skills automatically for seamless LLM integration.

Why is it gaining traction?

Unlike raw DingTalk APIs requiring custom clients per service, this CLI offers discovery-driven commands that adapt to new capabilities without updates, plus OAuth device flow login and auto-refreshing tokens. Its JSON-first responses and built-in skills make it agent-ready out of the box—pair it with Claude or Cursor for DingTalk deepresearch on GitHub without tool-calling hacks. Cross-platform binaries and one-line installs lower the barrier for quick DingTalk automation.

Who should use this?

DingTalk enterprise admins querying attendance stats or creating todos from CLI scripts. DevOps teams piping contact searches into pipelines. AI builders on openclaw dingtalk github prototyping agents that handle full DingTalk scenarios like approvals or calendars without SDKs.

Verdict

Grab it if you're in the DingTalk ecosystem—v1.0.0 delivers polished UX despite modest 429 stars and 1.0% credibility score from co-creation phase (needs whitelist approval). Solid docs and tests, but wait for self-service auth if enterprise hurdles deter you.

(198 words)

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