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Hermes 飞书(Feishu/Lark)CardKit v2.0 流式卡片插件

19
3
100% credibility
Found May 13, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A plugin that enhances the Hermes AI agent by displaying real-time interactive responses as streaming cards in Feishu and Lark chat apps.

How It Works

1
🔍 Discover live AI chats

You hear about a fun add-on that makes your AI helper's replies show up live, like typing in real-time, right in your team chat app.

2
📥 Add the feature

You follow easy steps to slip this add-on into your AI helper, like plugging in a new toy.

3
🔗 Link your chat app

You share simple details from your team chat so the AI can send pretty interactive cards there.

4
⚙️ Switch it on

You flip a quick setting to turn on the live updates, and restart your AI helper.

5
💬 Start chatting

You send a message to your AI in the team chat, just like normal.

6
Watch the magic

You see the AI's thoughts appear step-by-step, tools working with icons, and the reply typing out smoothly like a conversation.

🎉 Enjoy seamless talks

Your team chats with the AI feel alive and natural, with full details at the end like time taken and smart usage.

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Star Growth

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AI-Generated Review

What is hermes-lark-streaming?

Hermes-lark-streaming is a Python plugin for the Hermes GitHub AI agent that delivers real-time streaming cards in Feishu/Lark chats using CardKit v2.0. It transforms static AI responses into interactive displays with typewriter effects, visible model reasoning, live tool call status, and final stats like token usage. Hermes GitHub repo users on Lark get native, engaging chat UIs without custom frontends.

Why is it gaining traction?

It hooks developers with seamless streaming—prioritizing CardKit APIs, falling back to IM patches, auto-handling images via uploads, and gracefully managing /stop aborts or message interrupts. Bilingual cards switch by client language, and YAML-configurable footers track context and timings. Outshines basic Hermes GitHub copilot adapters or openclaw-lark by covering tool panels, unavailable message guards, and Hermes skills in one package.

Who should use this?

Feishu/Lark admins running Hermes GitHub agents for team AI chats, especially in SMM or token-gated workflows needing visual reasoning and tool tracking. Python devs building Hermes AI agents who want polished streaming over plain text replies. Avoid if your Hermes setup skips Lark or demands zero config tweaks.

Verdict

Try it if you're on Feishu Hermes—CLI commands like verify/install simplify patching, and docs cover updates/uninstalls cleanly. 19 stars and 1.0% credibility signal early maturity with re-verification post-Hermes releases, but thorough READMEs and MIT license lower risks for v2.0 streaming upgrades.

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