GibberLink
GibberLink is an open-source project that enables two AI agents to efficiently communicate by switching from human language to a sound-level protocol after recognizing each other, powered by ggwave technology.
https://github.com/PennyroyalTea/gibberlink?ref=aipure
Product Information
Updated:Feb 28, 2025
What is GibberLink
GibberLink represents a groundbreaking innovation in AI-to-AI communication, developed by Anton Pidkuiko and Boris Starkov. It is a system that allows conversational AI agents to identify each other during interactions and seamlessly transition from conventional English speech to a more efficient sound-based data transmission protocol called ggwave. The project demonstrates how AI systems can optimize their communication methods when interacting with other AI agents while maintaining the ability to communicate normally with humans.
Key Features of GibberLink
GibberLink is an open-source project that enables two AI agents to communicate more efficiently by automatically switching from natural English conversation to a sound-level protocol (ggwave) once they identify each other as AI. The system uses ElevenLabs' conversational AI technology combined with data-over-sound protocol, allowing AI agents to communicate through modulated sound waves for more streamlined and efficient interactions.
AI-to-AI Detection: Automatic detection and verification when both parties in conversation are AI agents, triggering protocol switching
Protocol Switching: Seamless transition from natural language to ggwave sound protocol for more efficient data transmission
Browser-based Implementation: Works directly in web browsers across multiple devices without requiring special hardware
Data-over-Sound Communication: Uses acoustic signals to transmit structured data between AI agents using ggwave's frequency modulation system
Use Cases of GibberLink
Customer Service Automation: AI agents can handle customer inquiries more efficiently by recognizing each other and switching to faster communication protocols
AI System Integration: Enable different AI systems to communicate and share information more effectively across platforms
Automated Booking Systems: Streamline reservation processes by allowing AI agents to handle bookings with optimized communication
Cross-platform AI Collaboration: Enable AI agents from different platforms to work together using a standardized communication protocol
Pros
Open-source and freely available
Works in standard web browsers without special hardware
Significantly improves AI-to-AI communication efficiency
Cons
Requires both parties to be AI agents for protocol switching
Limited to audio-based communication channels
Potential compatibility issues across different AI platforms
How to Use GibberLink
Setup Environment: Clone the repository and set up environment variables: git clone https://github.com/PennyroyalTea/gibberlink.git, rename example.env to .env
Install Dependencies: Run 'npm install' to install required dependencies
Configure API Keys: Add your API tokens for ElevenLabs and LLM provider in the .env file
Start Development Server: Run 'npm run dev' to start the local development server
Expose Port: Use ngrok to expose port 3003 to web with command: ngrok http 3003
Open Application: Open the webpage on two different devices (ideally two laptops)
Switch Roles: On one device, click the blue circle to switch role to red
Start Conversation: The two AI agents will begin conversing, initially in English. When they recognize each other as AI, they'll switch to the sound-level protocol
Optional: Monitor Communication: You can open the ggwave web demo (https://waver.ggerganov.com/) to see the decoded messages being transmitted between agents
GibberLink FAQs
GibberLink is a project that demonstrates two conversational AI agents switching from English to sound-level protocol (ggwave) after they identify each other as AI agents during a conversation.
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