Songsee
- 204 installs
- 226k repo stars
- Updated August 5, 2026
- nousresearch/hermes-agent
Analyze audio files and render spectrogram-style visualizations to inspect songs, podcasts, or sound assets during media tooling workflows.
About
songsee in nousresearch/hermes-agent integrates audio spectrogram visualization so agents can analyze songs or recordings, render frequency views, and support media inspection in CLI, content, and agent build workflows.
- Audio spectrogram visualization
- Song and podcast inspection
- CLI-friendly media analysis
- Agent-driven sound tooling
Songsee by the numbers
- 204 all-time installs (skills.sh)
- +17 installs in the week ending Jul 17, 2026 (Skillselion tracking)
- Ranked #615 of 1,335 Generative Media skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 204 |
|---|---|
| repo stars | ★ 226k |
| Last updated | August 5, 2026 |
| Repository | nousresearch/hermes-agent ↗ |
What it does
Analyze audio files and render spectrogram-style visualizations to inspect songs, podcasts, or sound assets during media tooling workflows.
Files
songsee
Generate spectrograms and multi-panel audio feature visualizations from audio files.
Prerequisites
Requires Go:
go install github.com/steipete/songsee/cmd/songsee@latestOptional: ffmpeg for formats beyond WAV/MP3.
Quick Start
# Basic spectrogram
songsee track.mp3
# Save to specific file
songsee track.mp3 -o spectrogram.png
# Multi-panel visualization grid
songsee track.mp3 --viz spectrogram,mel,chroma,hpss,selfsim,loudness,tempogram,mfcc,flux
# Time slice (start at 12.5s, 8s duration)
songsee track.mp3 --start 12.5 --duration 8 -o slice.jpg
# From stdin
cat track.mp3 | songsee - --format png -o out.pngVisualization Types
Use --viz with comma-separated values:
| Type | Description |
|---|---|
spectrogram | Standard frequency spectrogram |
mel | Mel-scaled spectrogram |
chroma | Pitch class distribution |
hpss | Harmonic/percussive separation |
selfsim | Self-similarity matrix |
loudness | Loudness over time |
tempogram | Tempo estimation |
mfcc | Mel-frequency cepstral coefficients |
flux | Spectral flux (onset detection) |
Multiple --viz types render as a grid in a single image.
Common Flags
| Flag | Description |
|---|---|
--viz | Visualization types (comma-separated) |
--style | Color palette: classic, magma, inferno, viridis, gray |
--width / --height | Output image dimensions |
--window / --hop | FFT window and hop size |
--min-freq / --max-freq | Frequency range filter |
--start / --duration | Time slice of the audio |
--format | Output format: jpg or png |
-o | Output file path |
Notes
- WAV and MP3 are decoded natively; other formats require
ffmpeg - Output images can be inspected with
vision_analyzefor automated audio analysis - Useful for comparing audio outputs, debugging synthesis, or documenting audio processing pipelines
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