4effc6020c
publishing-v1 over the same bus: a declared delivery policy per topic, named publication outcomes, the bounded event batch, application-owned state and cues, a read-only descriptor query service and a fake multi-agent consumer. The session publishes the contract types rather than an ad-hoc payload, so a descriptor says what the workers attested to and a snapshot is checked against it before it is published and again when it is read: every frame comes from the boundary its declared delay implies, every handle is the artifact its reference names, and an observer's refusal takes no world step and fences no epoch. AgentInitializeResult gains graph (datasetDigest, indexDigest, neuronCount, rateRoles, supportedStimuli), without which no AgentDescriptor field in publishing-v1 section 3 had a source. Dated amendments to workers-v1 section 2, publishing-v1 section 2 and state-media-v1 section 3. |
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|---|---|---|
| .forgejo/workflows | ||
| .github/workflows | ||
| apps/stage | ||
| data/fafb-v783 | ||
| docs | ||
| infra | ||
| packages | ||
| services | ||
| tools | ||
| .gitignore | ||
| CLAUDE.md | ||
| CONTRIBUTING.md | ||
| LICENSE | ||
| LICENSES.md | ||
| Makefile | ||
| NOTICE | ||
| package-lock.json | ||
| package.json | ||
| README.md | ||
| ROM-POLICY.md | ||
flybrain
A simulated fruit-fly brain that plays video games. A connectome-constrained spiking network reads the screen, its population rates become controller inputs, and a scalar reward nudges a bounded set of Kenyon-cell to MBON gains.
The library is @flybrain/brain in packages/brain. It holds the connectome dataset format, the
LIF kernel, the plasticity rule, the population-rate readout and the activity-map geometry. It
holds no game, no emulator and no reward rules: those belong to whatever embeds it.
Workspace layout
| Path | Contents |
|---|---|
packages/brain |
the library (@flybrain/brain) |
data/fafb-v783 |
FlyWire-derived browser artifacts (CC BY-NC 4.0) |
tools/ |
the Python builder that regenerates data/ from official Codex exports |
docs/ |
overview, dataset format, model, plasticity, readout, integration, limitations, verification |
services/flysim |
the Rust service: brain, emulator, snapshot feed, control API, checkpoints |
apps/ |
planned: one directory per game demo |
infra/ |
planned: deployment for the 24/7 stream (see docs/streaming-plan.md) |
Quick start
npm ci
npm test
npm run typecheck
76 tests, about 7 seconds. There is no build step. npx tsx packages/brain/examples/node-random-frames.ts 60
runs the full 139,255-neuron brain with the Game Boy readout on noise frames in plain Node
(about 0.9x Game Boy real time single-threaded on a WSL laptop).
Usage
import { NeuralAgent, gameboyDecoderConfig, toButtonMask } from '@flybrain/brain';
import { loadBrainDatasetFromDir } from '@flybrain/brain/node';
const dataset = await loadBrainDatasetFromDir('data/fafb-v783');
const agent = new NeuralAgent(dataset, { decoder: gameboyDecoderConfig() });
agent.warmup(firstFrame); // 2,500 ms with plasticity off, then calibrate
// every emulator frame:
const { active } = agent.tick(framebuffer, { // RGBA 160x144 by default; any size via config
rewards: [{ value: 0.5 }], // scalar rewards your game adapter detected
boot: !inGame, // relaxes Start/Select throttling on title screens
});
emulator.setButtons(toButtonMask(active));
const checkpoint = agent.exportState(); // bit-exact resume, validated on import
The lower layers (LifNetwork, RewardModulatedStdp, PopulationDecoder) are exported too for
hosts that want to run the loop themselves.
integration.md has the full per-frame loop, the fractional frame timing and the checkpoint contract.
Documentation
- Overview: the pipeline, the layer map and the design principles.
- Dataset format: artifacts, CSR layout, weight encoding, every role and its count, fingerprinting, regeneration, license.
- Model: the 1-ms LIF kernel step by step, every default constant, the retina projection, the RNG, state export and version strings.
- Plasticity: edge selection, the eligibility and reinforcement equations, statistics, topology hash and the explicit non-claims.
- Readout: scores, exclusive groups, pulse channels, the blocked-direction cooldown, the Game Boy preset table and checkpoint versions.
- Integration: what a game must provide, the Pokemon Red integration as a worked example, and a sketch of a platformer adapter.
- Limitations: what is not claimed, what is unproven, measured throughput.
- Verification: the oracle-test strategy and what each test file covers.
- Streaming plan: headless capture, Twitch, VM design and the phased plan for a 24/7 stream.
- Artifact builder: how to regenerate and verify
data/fafb-v783. - Data attribution: source, license and citations.
Provenance
The network, plasticity rule, readout, FlyWire pipeline and activity viewer were extracted from
the fly-plays-pokemon prototype so several game demos can share one core. The default
configuration reproduces that prototype's kernel bit for bit, and verbatim copies of its modules
live in packages/brain/tests/legacy/ as oracles. Built with Astra.
Licensing
The data/fafb-v783 artifacts are derived from the FlyWire FAFB public Codex v783 exports and are
licensed CC BY-NC 4.0. That is a
non-commercial license, so a commercial demo needs a different data source or separate permission.
Citations and the list of modifications are in
data/fafb-v783/ATTRIBUTION.md.
No license has been chosen for the code in this repository yet.
ROMs and save states never enter this repository.