Playground archived at branch archive/playground-solidjs (tag playground-solidjs-final) and deleted from main. Retargets: - run-all-tests.sh stage 5 → manifold (typecheck + bun test + build + playwright via non-snap node runner, BUILD-PLAN gotcha) - ci.yml playground-tests → manifold-tests; osc-bridge.yml → manifold/osc-bridge (was already broken: playground/osc-bridge no longer existed) - codegen: TS emission target removed (returns at P5 → manifold); golden test now C++-only; TS emitters retained dormant - .gitignore: manifold/osc-bridge paths; drop dead playground faust exception - docs: AGENTS.md gates, README quickstart, MAP.md, ALIGNMENT.md (C15 now archive-only — defect #1 updated), AGENT-REFERENCE.md, specs/MAIN.md Part of docs/specs/plans/one-core-engine-refactor.md P1.
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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_xlwithOptimize3. - The build forces C++20 because the firmware uses
std::spanand concepts. build-firmware.shaccepts an optional variant name such asMEMLCeliumorBreakOr. Matching remains case-insensitive, somemlceliumstill works. If you omit it in an interactive shell, the script parsesMEMLNaut-NISPS.ino, prompts for a variant, and rewrites the activeMEMLNAUT_MODE_TYPEbefore building.flash-firmware.shaccepts an optional mountpoint argument, or auto-detects common UF2 bootloader mounts such as/run/media/$USER/RP2350and/run/media/$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.)