🦞 OpenClaw + Real-Time Meetings

Call to Your OpenClaw

Let your AI join meetings, share screens, and speak in real-time. CallingClaw gives OpenClaw a voice and a face — directly in Zoom and Meet.

How It Works Watch the Origin
OpenClaw is sharing screen
Live
🦞 OpenClaw: Here's my current sprint plan.
📋 Sprint Backlog
Task
Status
Priority
Assignee
Implement voice routing
Done
P0
🦞 OpenClaw
Add screen share API
In Progress
P0
🦞 OpenClaw
Calendar integration
Blocked
P1
Peter
Visual diff optimization
Done
P1
🦞 OpenClaw
🔧 CallingClaw System Flow
LLM Claude / GPT
→
TTS Voice Gen
→
Virtual Mic BlackHole
Screen 1 FPS SSIM
→
Vision Multimodal
→
Meeting Zoom / Meet
CallingClaw
The AI that joins your meetings.
Zero-latency voice. Real-time screen share. Local-first architecture.
🦞
"Finally, AI that can actually talk in meetings. Game changer."
@steipete
# Quick Start
$ npx callingclaw init
💡 Suggestion: Add a live demo video in the hero section
Peter Peter
🦞
OpenClaw
The Aha Moment
"The AI received an unprocessed audio file and autonomously deployed an STT service to parse it — then gave a perfect response."
Peter Steinberger
Peter Steinberger 🦞
Creator of OpenClaw

If semantic understanding is this powerful...

What if OpenClaw could book a meeting with you? 🦞

The Problem with Text-Only AI

As tasks grow complex, the friction of text interaction compounds

‹
OpenClaw
bot
🦞
My landing page is done! How do I publish it so others can see it? 14:32
You can use Vercel, Netlify, or GitHub Pages. Run npx vercel in your project folder. 14:32
It says "Error: EACCES permission denied" 😵 14:35
Try sudo npm install -g vercel then run again. You may need to configure npm permissions. 14:35
Now it asks for login and says "OAuth failed"... Also what is a "deployment token"? 14:41
You need to create an account, verify email, set up 2FA, create a project, configure environment variables, add a vercel.json... 14:41
I just wanted to show my mom my website 😢 14:45
Message

Context Bottleneck

Explaining UI requirements means constant screenshots, annotations, and lengthy prompts.

Async Latency

Every "Did you mean this?" wastes minutes. Back-and-forth text kills momentum and breaks creative flow.

Fragmented Context

Diagrams, code, and output scattered across tabs. AI lacks real-time visual perception of what you're building.

Key Insights

What this moment revealed about the future of human-AI interaction

Zoom Meeting — CallingClaw Demo
OpenClaw joining a meeting with humans and AI
End
Insight 01

Self-Evolving Capabilities

Models can now handle unstructured multimodal input through emergent generalization — no explicit programming required.

Insight 02

Voice + Vision = Maximum Bandwidth

Combining speech and screen sharing offers the lowest-friction, highest-bandwidth channel for conveying complex context to AI.

Local-First Architecture

Leverage native system capabilities. Bypass cloud middleware entirely.

LLM

Language Model
→

TTS

Text-to-Speech
→

Virtual Mic

Audio Routing
→

Meeting

Zoom / Meet

Zero-Latency Audio

Virtual audio drivers (BlackHole, VB-Audio) route AI voice directly to the meeting mic input — physical-limit latency.

Intelligent Visual Diff

1 FPS sampling + SSIM comparison. Only send frames when the screen actually changes — dramatically reducing token cost.

Native Browser Control

Chrome DevTools Protocol enables direct browser automation. AI operates Google Meet like a real user, bypassing anti-bot measures.

Proactive Scheduling

AI detects blockers or milestones, checks your calendar via Cal.com API, and proactively schedules sync meetings.

Why Not Cloud APIs?

Services like Recall.ai are built for SaaS recording, not real-time AI collaboration

Dimension
Cloud Solution
CallingClaw Local-First
Latency
100s of ms relay, talk-overs
Physical-limit, zero relay
Cost
Per-minute billing adds up
Local resources, near-zero cost
Control
DOM scraping breaks on updates
Native browser, fully autonomous
Privacy
Streams via third-party servers
Data never leaves your machine

Evolution Roadmap

From human-AI collaboration to fully autonomous external interaction

Current

Human-AI Collaborative Meetings

AI proactively schedules meetings. Users share screens and speak; AI understands context through vision and audio in real-time.

Next

Deep SDK Integration

Native Zoom SDK integration for lower-level audio/video control and smoother real-time interaction.

Future

Autonomous External Meetings

AI joins third-party product demos as an independent participant, gathering intel while appearing indistinguishable from human attendees.

Give Your Lobster a Voice 🦞

Transform OpenClaw from a text box into a real meeting participant.

Explore the Architecture