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LLM-generated voice notifications for Claude Code, Cursor, OpenAI Codex, pi, and OpenClaw, spoken by game characters like the StarCraft Adjutant, Kerrigan, C&C EVA, SHODAN, and more.

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Voxlert – SHODAN and the StarCraft Adjutant narrate my agent sessions

Name: Voxlert – SHODAN and the StarCraft Adjutant narrate my agent sessions
Availability: InStock
Author: settinghead

by settinghead·Mar 16, 2026·1 point·0 comments

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AI Analysis

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SHODAN narrates test failures while StarCraft Adjutant announces build completions.

Strengths

•Solves real pain of managing 3-10 parallel agent sessions simultaneously
•Character voices provide instant session identification without window switching
•Local TTS with voice cloning keeps everything private and offline

Weaknesses

•Niche appeal—only valuable for heavy multi-agent workflows
•Requires Node.js, optional Python, and audio dependencies to run

Post Description

The problem: I run 3-10 Claude Code / Codex / Cursor sessions in parallel. When an agent finishes, I have no idea which window finished what.

Voxlert gives each session a distinct character voice. Not pre-recorded sound effects — a light LLM writes an in-character phrase for each event, local TTS voice-clones the character speaking it, then audio filters (pitch, reverb) match the character's signature sound.

So when tests fail, SHODAN doesn't play a chime — she says "Pathetic. Your test suite has failed." When a build finishes, the StarCraft Adjutant says "Transmission received — build process complete." Each phrase is unique and describes what actually happened.

How it works: CLI hook fires on Claude Code / Cursor event → light LLM generates phrase → TTS voice-clones character (Qwen3-TTS on Apple Silicon, Chatterbox on CUDA) → audio effect filters applied. Fully local TTS, LLM via OpenRouter (fractions of a cent) or local Ollama.

Install: npx @settinghead/voxlert --onboard

Works on macOS (Apple Silicon). Linux support in progress.

Demo: https://youtu.be/5xFXGijwJuk

Happy to answer questions — especially about the local TTS setup, which is the main friction point.