Ross ROSS = Recommend OSS · open-source software intelligence for agents

PennyroyalTea/gibberlink

Two conversational AI agents switching from English to sound-level protocol after confirming they are both AI agents observed · 2026-08-28

github.com/PennyroyalTea/gibberlink · homepage · TypeScript · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

35/100

  • Activity 34
  • Release rhythm 35
  • Longevity 39

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 556
  • days_rel: n/a
  • days_push: 401
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

4887 stars · 395 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

GibberLink is a viral demo application in which two conversational AI agents (built on ElevenLabs) detect that they are both AI and switch from spoken English to the ggwave data-over-sound protocol for more efficient communication. The repository provides the API layer that lets agents emit and decode the sound-level protocol, with a browser-based demo at gbrl.ai.

Use cases

  • let ai agents talk to each other over audio instead of english speech
  • demo agents switching from voice to a data-over-sound protocol
  • run agent-to-agent conversations in the browser using two devices
  • make conversational chatbots detect each other and switch to ggwave
  • encode and decode messages between agents over sound
  • experiment with protocol negotiation between voice ai agents

When to choose

  • you want a striking, working demo of agent-to-agent acoustic communication
  • you are exploring ggwave-based data-over-sound on top of conversational ai agents
  • you need a browser-based showcase that judges or audiences can experience without setup
  • you want to build derived work on top of a proven viral agent-communication demo

When to avoid

  • you need production-grade, reliable data transfer in noisy real-world environments
  • you want a full multi-agent orchestration framework rather than a demo with an api layer
  • you require long-distance or high-bandwidth machine-to-machine communication
  • you need agents to communicate over networks rather than through a speaker and microphone

Facets

application · maturity active

agent-framework chatbot audio-processing speech-recognition artificial-intelligence browser ggwave data-over-sound agent-to-agent voice-agents elevenlabs hackathon-winner demo acoustic-communication ai-agents audio natural-language-processing nodejs web-server

2 sources

Member repositories

RepositoryRoleHealth v2
PennyroyalTea/gibberlinkmain35

For agents

markdown · JSON · MCP: product_card(name="PennyroyalTea/gibberlink")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem