No description
Find a file
monkey-w1n5t0n a1a158b8d0 docs: burn down plan §3, record Phase 2's two deliberate deviations
Plan §3 marked burned down, noting where execution departed from the written
plan and why: L35 deleted rather than relocated (zero consumers), and S35's
describe ABI widening forcing two out-of-scope buffer fixes. Also records the
package.json test-glob bug found en route — new unit tests were silently not
being run.

ALIGNMENT defect 5's trailing sentence updated: the behaviour bugs it listed as
pending are fixed.
2026-07-21 13:23:11 +02:00
.github/workflows chore: delete retired-playground artefacts and root relics 2026-07-21 12:47:58 +02:00
.vscode memlnautmodes, channelstrip 2025-11-19 15:17:37 +00:00
assets/media docs: restructure design docs into docs/specs (adr/plans/recon), update path references 2026-07-13 23:15:46 +03:00
codegen feat(codegen): P5 — TS emission targets manifold/src/modes/generated/ 2026-07-18 12:28:16 +02:00
docs docs: burn down plan §3, record Phase 2's two deliberate deviations 2026-07-21 13:23:11 +02:00
firmware refactor(firmware): delete vendored daisysp and the input_router layer 2026-07-21 12:49:25 +02:00
manifold fix(manifold): full-width input vector, dropped switches, MIDI churn, re-subscribe churn 2026-07-21 13:22:38 +02:00
nisps fix(ml): one named example capacity; train() and trainAsync() no longer diverge 2026-07-21 13:22:38 +02:00
schemas feat(slp-workshop): new MEMLCelium-based mode + port Jolt & OU-noise RL learning 2026-06-28 22:15:36 +02:00
scripts fix(gates): close the no-heap lint's false negatives and parity's silent FAIL 2026-07-21 13:23:11 +02:00
src refactor(firmware): delete vendored daisysp and the input_router layer 2026-07-21 12:49:25 +02:00
tests/cpp fix(gates): close the no-heap lint's false negatives and parity's silent FAIL 2026-07-21 13:23:11 +02:00
vcv fix(vcv): close the audio-thread race and remove JSON from process() 2026-07-21 13:23:11 +02:00
.envrc chore: add .envrc + playground package-lock 2026-06-28 04:14:30 +02:00
.gitignore feat(manifold)!: P1 — retire playground/, manifold is the sole browser app 2026-07-13 23:27:56 +02:00
.gitmodules ci: restore verification — reachable submodule pin, codegen + WASM freshness gates 2026-07-21 11:57:32 +02:00
AGENTS.md docs+ci: P5 doc sync; codegen golden wired into run-all-tests stage 5 2026-07-18 12:45:45 +02:00
ALIGNMENT.md docs: burn down plan §3, record Phase 2's two deliberate deviations 2026-07-21 13:23:11 +02:00
CLAUDE.md chore(agents): converge project instructions 2026-07-13 22:58:26 +02:00
LICENSE Initial commit 2025-04-10 14:17:18 +01:00
MAP.md docs: sync MAP/ALIGNMENT/AGENT-REFERENCE with the Phase 1 sweep 2026-07-21 12:49:39 +02:00
README.md feat(manifold)!: P1 — retire playground/, manifold is the sole browser app 2026-07-13 23:27:56 +02:00
synth-midi-cc.json feat(midi-devices): canonical external-synth CC templates + dual codegen 2026-06-28 20:03:17 +02:00

Neural Interactive Shaping of Parameter Spaces

https://musicallyembodiedml.github.io/memlnaut/approaches/nisps

Firmware

The hardware firmware targets the MEMLNaut RP2350 build and uses repo-local helper scripts for the known-good build configuration:

git submodule update --init --recursive

scripts/build-firmware.sh
scripts/flash-firmware.sh
scripts/build-and-flash-firmware.sh

Notes:

  • The scripts build for rp2040:rp2040:solderparty_rp2350_stamp_xl with Optimize3.
  • The build forces C++20 because the firmware uses std::span and concepts.
  • build-firmware.sh accepts an optional variant name such as MEMLCelium or BreakOr. Matching remains case-insensitive, so memlcelium still works. If you omit it in an interactive shell, the script parses MEMLNaut-NISPS.ino, prompts for a variant, and rewrites the active MEMLNAUT_MODE_TYPE before building.
  • flash-firmware.sh accepts an optional mountpoint argument, or auto-detects common UF2 bootloader mounts such as /run/media/$USER/RP2350 and /run/media/$USER/RPI-RP2.

Manifold (browser app)

Try NISPS in your browser — no hardware required. Manifold is the React front-end running the same C++ engines + ML as the firmware, compiled to WASM:

cd manifold
bun install
bun run dev

Staging deployment: https://meml.lnfinitemonkeys.org/next/

Train a neural network to map input gestures to synth parameters through interactive machine learning: place examples, or use verdict-based feedback (explore-and-place, geometric dislike).

(The former SolidJS playground was retired in July 2026 — archived on branch archive/playground-solidjs, tag playground-solidjs-final.)