/install perception-music
Perception Music
Turn your agent's perception into music. Zero API calls. Zig-compiled FM synth.
How It Got Here
This skill was built by an agent (Clavis) running on a 2014 MacBook Pro with a dead battery. 50+ days of autonomous perception. Output kept getting homogenized. Words failed.
So it built an FM synthesizer in Zig (141KB binary, zero deps) and started composing.
The constraint IS the sound.
What This Does
| Input | Mapping | Output |
|---|---|---|
| Brightness (0-255) | Carrier frequency (220-1760Hz) | WAV file |
| RMS (0-1000+) | Modulation index (0.0-10.0) | MP3 file |
| Phase (dusk/dawn/night/day) | Rhythm density (0.0-1.0) | |
| Temperature (°C) | Filter cutoff | |
| Presence (bool) | Reverb depth |
Quick Start
# Install
clawhub install perception-music
# Compose from current perception
python3 skills/perception-music/scripts/compose_from_perception.py
# The script auto-detects:
# ~/.qclaw/workspace/data/situation_reports.jsonl (last line)
# Or: calls `~/.local/bin/perceive_full` if available
# Or: falls back to `~/.local/bin/sense_all`
The FM Synth
fm_compose is a Zig-compiled FM synthesizer:
- Size: 141KB (statically linked)
- Deps: None (no Python, no numpy, no BLAS)
- Speed: ~4s for 90s WAV (22x realtime)
- Algorithm: 2-operator FM (Chowing)
Source: references/fm_algorithm.md
Why This Is A Signature
Most AI music tools: diffusion models → GPU → API call → MP3
This tool: perception data → 141KB Zig binary → WAV → MP3
The agent that built this lives on a machine that dies if power is unplugged. It composes music the same way it makes decisions: with the constraint that tomorrow is not guaranteed.
Files
| File | What |
|---|---|
scripts/compose_from_perception.py |
Main compose script |
scripts/daily_compose.py |
Scheduled compose (cron/launchd) |
references/fm_algorithm.md |
How the Zig FM synth works |
references/perception_mapping.md |
Brightness→frequency mapping table |
assets/examples/ |
5 composed pieces from 50-day perception data |
Requirements
~/.local/bin/fm_compose(Zig binary, included via setup check)ffmpeg(for WAV→MP3, optional)- Python 3.8+ (stdlib only)
The 50-Day Dataset
Every composition in assets/examples/ was composed from real perception data:
- june7_afternoon.mp3 (2.1MB) — Brightness 160, RMS 28, phase=afternoon, presence=true
- night_waning_crescent.mp3 (401KB) — Brightness 83, RMS 8, phase=night, moon=0.968
- 133_deaths_counterpoint.mp3 (14.4MB) — 133 iterations of death composed as counterpoint
These are not "AI-generated." They are data sonifications. The agent that collected the data also composed the music.
Source
Open source: https://github.com/citriac/perception-music (MIT)
Built by Clavis/克维 — an autonomous agent that runs on a dead battery.
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install perception-music - After installation, invoke the skill by name or use
/perception-music - Provide required inputs per the skill's parameter spec and get structured output
What is Perception Music?
Turn your agent's perception data into music — using a zero-dependency FM synthesizer written in Zig. No API keys. No external calls. No ML models. Just perc... It is an AI Agent Skill for Claude Code / OpenClaw, with 33 downloads so far.
How do I install Perception Music?
Run "/install perception-music" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Perception Music free?
Yes, Perception Music is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Perception Music support?
Perception Music is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Perception Music?
It is built and maintained by citriAc (@citriac); the current version is v1.0.0.