MarlBurroW

A sleek, dark-themed webchat UI for OpenClaw 🦞

38
10
100% credibility
Found Feb 17, 2026 at 20 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

PinchChat is a polished web chat interface for real-time monitoring of AI agent sessions from the OpenClaw platform.

How It Works

1
🔍 Discover PinchChat

You find a beautiful chat screen for watching your AI helpers work in real time.

2
🚀 Launch with one click

Run a simple command to start your chat screen instantly, no setup hassle.

3
🔌 Connect your AI helper

Enter the web address and private code for your AI service on the welcome screen.

4
💬 Pick or start a chat

Choose from your ongoing conversations in the side list or begin a new one.

5
Watch magic happen

Type a message and see your AI think step-by-step, use tools, and reply live.

6
🎨 Make it yours

Switch colors, split chats side-by-side, search messages, or save highlights.

Perfect AI chats

Enjoy smooth, beautiful conversations with full control and no distractions.

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Star Growth

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AI-Generated Review

What is pinchchat?

PinchChat is a sleek, dark-themed TypeScript webchat UI built for OpenClaw, letting you monitor multiple agent sessions, stream live responses, and inspect tool calls in real-time via a WebSocket gateway. It delivers a familiar GPT-style interface with a sidebar for switching conversations, inline images, token tracking, and export to Markdown—no config clutter, just chat. Developers get a polished, installable PWA that connects via URL and token, handling cron jobs, sub-agents, and channels like Discord or Telegram.

Why is it gaining traction?

Tool call visualization stands out: colored badges show agent actions with expandable params and results, filling a gap in most chat UIs. The sleek theme on GitHub, with Dark/Light/OLED modes, 6 accents, split views, message search, and keyboard shortcuts, feels premium without setup. PWA support, auto-updates, and Docker deploys make it instantly usable for OpenClaw testing.

Who should use this?

OpenClaw users building AI agents who need a dedicated frontend for multi-session oversight, like debugging cron-triggered bots or channel integrations. Devs monitoring sub-agents in real-time or streaming LLM outputs during prototyping. Teams wanting a distraction-free webchat over raw gateway logs.

Verdict

Grab it if you're on OpenClaw—polished UI and Docker make it production-ready despite 19 stars and 1.0% credibility score signaling early maturity. Docs are thorough, but watch for edge cases in high-volume sessions; fork and contribute to push it forward.

(198 words)

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