Whisker, a real-time Pipecat debugger for your voice AI agents
A low-level Pipecat debugger. Contribute to pipecat-ai/whisker development by creating an account on GitHub.
Whisker, a real-time Pipecat debugger for your voice AI agents launched on August 25, 2025 with 11 votes, #1,601 of 8,530 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
Whisker is a real-time debugger designed for Pipecat voice AI agents. It helps developers monitor and troubleshoot voice AI applications as they run, providing visibility into agent behavior and performance. The tool integrates with Pipecat's framework to identify issues during development and testing. Whisker is for engineers building voice-based AI systems who need to understand what their agents are doing in real time.
written from the facts on this page · September 2026
From the sources
Whisker is a low-level debugger for the Pipecat voice and multimodal conversational AI framework. Pipecat is a multi-agent systems: workers spawn sub-workers, send jobs to each other, and exchange messages on a shared bus. Whisker gives you a single view over the whole system so you can see exactly what every part is doing. Think of Whisker as trace logging with batteries for Pipecat applications. uv pip install pipecat-ai-whisker Add Whisker to your Pipecat pipeline Whisker is split into two pieces: a WhiskerServer that owns the WebSocket connection to the UI (and listens on the Pipecat bus for cross-worker events), and per-worker WhiskerObserver s that forward frame events to the server.…from github.com
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