Decibri – unified audio layer for AI agents and Voice AI applications
The unified audio layer for AI agents and Voice AI applications Capture real-time microphone audio, play to speakers, or pipe anywhere (voice agents, WebSockets, or files) using Python, Node.js, or Rust. Pre-built binaries for Python, Node.js, and Rust mean no compilers, no system audio libraries, and no setup. Cross-platform macOS, Windows, and Linux with pre-built binaries.
- ▪The unified audio layer for AI agents and Voice AI applications Capture real-time microphone audio, play to speakers, or pipe anywhere (voice agents, WebSockets, or files) using Python, Node.js, or Rust.
- ▪Pre-built binaries for Python, Node.js, and Rust mean no compilers, no system audio libraries, and no setup.
- ▪Cross-platform macOS, Windows, and Linux with pre-built binaries.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,316 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Decibri |
| Canonical URL | https://decibri.com |
| Publication time | Wed, 15 Jul 2026 07:23:38 +0000 |
| Retrieval time | 2026-07-15T07:39:09.806Z |
| Last seen | 2026-07-15T07:52:39.523Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 3aTGkSAbK1eq |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
The unified audio layer for AI agents and Voice AI applications Capture real-time microphone audio, play to speakers, or pipe anywhere (voice agents, WebSockets, or files) using Python, Node.js, or Rust. Built-in voice activity detection. Zero system dependencies. Zero setup. Get Started Install with one command: $ pip install decibri Then start streaming: Python Node.js Rust import decibri with decibri.Microphone(sample_rate=16000) as mic: for chunk in mic: print(f"Got {len(chunk)} bytes") break const { Microphone } = require('decibri'); const mic = new Microphone({ sampleRate: 16000 }); mic.on('data', (chunk) => console.log(`Got ${chunk.length} bytes`)); setTimeout(() => mic.stop(), 5000); use std::time::Duration; use decibri::{DecibriError, Microphone, MicrophoneConfig}; fn main() ->…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Decibri.
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