DeepSeek OpenClaw WeChat and Feishu setup: use the official QuickStart flow before enabling chat channels

DeepSeek describes OpenClaw as an open-source personal AI assistant that can connect to chat tools like Feishu and WeChat and can be extended through Skills. That means the target use case is broader than a terminal coding loop.

The key word is personal. This is not documented as a generic teamwide shared bot by default. That matters for both SEO accuracy and support expectations.

DeepSeek's official migration path for existing installs is explicit: rerun `openclaw onboard --install-daemon` and re-enter setup. That is the safe answer when a previous provider or stale local state is already present.

This matters because support pages often jump straight to hidden config files. DeepSeek's own docs do not. They route users back through the supported onboarding flow first.

One of the most important lines on the official page is the first prompt: OpenClaw is personal-by-default, and shared or multi-user use requires lock-down. That warning is not filler copy.

For practical DeepSeek-first guidance, it means you should validate one-user local behavior first. Do not market this flow internally as a drop-in shared workspace agent until you have designed the lock-down layer yourself.

For SEO, this is valuable because many queries are not 'how do I install OpenClaw' but 'is OpenClaw safe to wire into chat channels for a team'. The official answer is cautious, and this page should preserve that caution.

DeepSeek's prompt sequence is unusually concrete. After confirming the warning, choose QuickStart, select DeepSeek as the model and auth provider, paste the API key, and then navigate to Enter model so you can type `deepseek-v4-pro` or `deepseek-v4-flash` yourself.

That manual model-entry step matters because it prevents the page from drifting into vague 'pick whatever DeepSeek option you see' advice. The official docs are more explicit than that.

DeepSeek's page groups message channels, Skills, and the rest of the configuration as follow-up setup, with a note that beginners can skip them at first. That ordering is important.

The right rollout sequence is: get the DeepSeek provider working, verify a model responds, then enable WeChat, Feishu, or other channels one at a time. If you wire channels first, you create too many failure points to debug cleanly.

For teams exploring multiple deployment surfaces, OpenClaw is stronger than a terminal-only agent when channel distribution is the main goal. If direct coding is the goal, compare `/guides/deepseek-openclaw-setup`, `/guides/deepseek-astrbot-setup`, and `/guides/reasonix-deepseek-coding-agent`.

After setup, DeepSeek's page gives three launch routes: `openclaw dashboard` for the web UI, `openclaw tui` for the terminal interface, and `openclaw terminal` for direct chat in the shell.

That matters for support traffic because users often assume the dashboard is mandatory. It is not. Pick the launch surface that matches the operator's daily workflow, then add channel connectors only when the underlying DeepSeek route is stable.