Every project, tool and team building neurotech in the open — discovered automatically, refreshed every 3 hours, relevance-filtered, and free of noise.
The radar is generated from public GitHub topic search. A repository is kept if it carries a core BCI/neuro topic, or a context topic (signal processing, embedded, privacy…) plus an anchored neuro keyword — so generic projects don't leak in. Recency is measured from a fixed 6-hour snapshot, so unchanged projects keep a stable position. It's a discovery map — not an endorsement or a ranking of quality, safety, or clinical fitness. AxonOS is ranked by the same formula as everyone else.
Position is a neutral discovery signal: log₁₀(stars+1) × 10 + recency. Rising reflects real 7-day star velocity from accumulated history. No hand-tuned “hype”, no paid placement, no self-boosting — every project, including AxonOS, is ranked by the same formula.
The dataset refreshes automatically every 3 hours and is published to a single, always-current live stats issue. You can also publish a fresh scan to that issue on demand:
Maintainers: the button opens the scan workflow — click Run workflow to rescan GitHub, refresh the data, and rewrite the live stats issue in place.AxonOS is an open, real-time neural operating system for brain–computer interfaces — a no_std Rust kernel, a wire-level consent protocol, a deterministic signal pipeline, and the standard that ties them together. This is what's shipped, in progress, and planned.
Real-time no_std kernel: deterministic scheduler, SPSC queues, monotonic time, capability model.
Kernel-level consent FSM with formally-bounded withdrawal latency. Live MMP interop test PASS.
The AxonOS Consent Protocol on the wire: bounded CBOR, exhaustive FSM, hardware StimGuard.
Fixed-point DSP chain: raw frame to typed decision, vector-pinned and deterministic.
The normative standard and the CLAIMS.md catalogue that keeps every claim verifiable.
Byte-exact wire-format vectors and codecs across several languages.
This radar: a living, momentum-first map of the open BCI field.
Co-authored preprint on protocol-level consent enforcement for cognitive mesh systems.
A no_std deterministic Rust/WASM engine — a playable demonstration of cognitive boundaries.
Calibration-free decoding: usable accuracy in seconds, no per-user calibration session.
Move the secure path to Cortex-M33 with TrustZone-S — StimGuard and charge limits in the secure world.
An open 8-channel acquisition dev kit so others can run AxonOS on real signals.
AxonOS is independent and open. If it's useful to you, a Dogecoin tip helps keep the work going.
DMwHAhqVNWf7dyEznukxCufNS5rjuP5MTpA discovery map is only as alive as its community. Here's how to plug in.
Building or using something open in BCI / neurotech? Open a one-field issue or add a topic via PR to data/seeds.json. Projects are discovered live, so every link stays real.
The New filter and the RSS feed surface freshly discovered projects, so you never miss a launch in the field.
Share work, papers and questions in Discussions, and follow build notes on Medium.
AxonOS is an open, real-time neural OS for BCIs. Explore the engineering at axonos.org and the code on GitHub.