OpenUtter: Query Google Meet Transcripts Live via OpenClaw

OpenUtter is a tool that lets your OpenClaw agent attend Google Meet meetings for you. It captures the live transcript and allows you to query it in real-time via text message.
How It Works
The tool uses Playwright to launch a stealth Chromium instance that joins a Google Meet via an invite link as a guest or authenticated account. It injects a MutationObserver into Meet's DOM to capture caption updates as they appear. The tool deduplicates word-by-word UI updates into a clean log format: [timestamp] Speaker: Text. This log is streamed in real-time through your OpenClaw event bus.
Key Features
- Live Querying: While a meeting is running, you can text your OpenClaw agent questions like "what are they talking about right now?" The agent pulls the last 20 lines of the live transcript and sends them back.
- Screenshot Capture: Sending "Take a screenshot" triggers a full-screen capture that appears in your chat within seconds.
- Multiple Bridge Support: Use the
--channelflag to route the stream to configured OpenClaw bridges including Telegram, WhatsApp, Slack, and Discord. - LLM Integration: The source mentions piping the transcript to an LLM summarizer that pushes action items to Slack when the call ends.
Setup
Installation requires two commands:
npx openutter
npx playwright-core install chromiumThe GitHub repository is available at https://github.com/sumansid/openutter.
Practical Use
This approach enables monitoring meetings without being physically present. As described in the source: "Texting 'what did they just decide?' 30 minutes into a call you're not on is a different way to work." The live query functionality appears to be the most frequently used feature according to the user.
📖 Read the full source: r/openclaw
👀 See Also

Gemma 4 26B vs Qwen 3.5 27B: Local Business Workflow Benchmark on RTX 4090
A developer tested Gemma 4 26B and Qwen 3.5 27B on an RTX 4090 workstation for 18 real business operator tasks. Gemma won 13-5, showing faster speed and better discipline for daily execution work, while Qwen excelled at broader strategic thinking.

Visual Prompting Framework Replaces Text Prompts with Single Image for Claude AI
The Carrying Capacity Principle v9 is a bidirectional structural framework that uses a single flowchart image instead of text prompts for Claude AI. It provides structural diagnosis or generative construction plans based on system parameters or goals.

Blackwell LLM Toolkit: NVFP4 Configs, Wheels, and Benchmarks for TensorRT-LLM on RTX Pro 6000
A community repo provides TensorRT-LLM configs, prebuilt LMCache wheels with sm_120 support, and benchmarks for Blackwell GPUs. Nemotron-3-Nano-Omni V3 hits 270 tok/s at 8k context on a single RTX Pro 6000.

Spectyra Plugin for OpenClaw: Real-Time AI Cost Optimization by Analyzing Full Request Flow
Spectyra plugin reduces AI API costs by surfacing hidden waste like repeated calls, excessive context, and expensive model misuse in real time.