# Light of Baldr: a full pure-Mojo web stack + a GPU multi-pattern matching kernel (11 repos on Mojo 1.0)

**URL:** <https://forum.modular.com/t/light-of-baldr-a-full-pure-mojo-web-stack-a-gpu-multi-pattern-matching-kernel-11-repos-on-mojo-1-0/3101>\
**Category:** Community Showcase\
**Created:** [May 22, 2026, 3:08am UTC](https://forum.modular.com/t/light-of-baldr-a-full-pure-mojo-web-stack-a-gpu-multi-pattern-matching-kernel-11-repos-on-mojo-1-0/3101 "2026-05-22T03:08:49Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Adam](https://sea1.discourse-cdn.com/flex001/user_avatar/forum.modular.com/adam/32/1178_2.png) [@Adam](https://forum.modular.com/u/Adam)\
**Post date:** [May 22, 2026, 3:08am UTC](https://forum.modular.com/t/light-of-baldr-a-full-pure-mojo-web-stack-a-gpu-multi-pattern-matching-kernel-11-repos-on-mojo-1-0/3101/1 "2026-05-22T03:08:49Z")

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Sharing a body of pure-Mojo open-source work we just put out — and genuinely after feedback from people who know MAX/Mojo deeper than we do.

Over a short sprint on **Mojo 1.0** (Light of Baldr LLC), we built and open-sourced **11 projects** , on the bet that Mojo 1.0 is ready to host _real systems software end-to-end_, not just ML kernels. Everything is Apache-2.0 at [lightofbaldr (Adam Kruger) · GitHub](https://github.com/lightofbaldr).

**A full pure-Mojo web stack** — no Python/Go/Node on the request path:

- **mojo-http** — HTTP/1.1 server on raw POSIX sockets via FFI
- **mojo-serve** — `serve .`-style static server + a Flask/FastAPI-shaped routing core
- **mojo-json** — RFC-8259 parser/emitter (Mojo stdlib has none — fills the gap)
- **mojo-template** — Jinja2-inspired HTML engine (autoescape, if/for, filters)
- **mojo-gpuq** — a Redis-shaped queue/KV/task store whose payloads live in GPU memory (CUDA Driver API via `std.ffi`)
- **mojo-cudart-shim** — an `LD_PRELOAD` interposer that caps reported GPU memory for MAX on unified-memory hosts
- **baldr** — a batteries-included bundle that unifies the above into one import surface (the “FastAPI of Mojo”); 242 tests green

**Security tooling:**

- **mojo-yara** — a YARA-compatible scanner, bit-equal to C libyara 4.5.0 across 150 matching decisions
- **mojo-multimatch** — the one I’d most love eyes on: a **GPU-resident Aho-Corasick multi-pattern matching kernel**. Three backends behind one dispatcher (scalar / GPU / a SIMD-CPU slot). Same Mojo source on two architectures with zero per-arch changes — measured **~15× over scalar on Ada (RTX 4070), ~47× on GB10 Grace-Blackwell**. The dispatcher is `std.gpu` byte-level lane math over a flat goto table.

**And a demo** that wires the stack into one running app: **mojo-stack-demo** / **mojo-stack-demo-v2**.

What’s next: a pure-Mojo BPE tokenizer, a GPU scan kernel for gpuq’s `FIND`, and exploring a model bring-up on MAX.

Would genuinely value feedback — especially on the GPU kernel design, and anything that would make these more useful to the community. Repos: [lightofbaldr (Adam Kruger) · GitHub](https://github.com/lightofbaldr)

— Adam, Light of Baldr