jevmlx
Jev-style parallel constrained decisions for any MLX model on Apple Silicon. Typed, schema-valid JSON in one forward pass.
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GITHUB · launched Sep 17, 2026 · 54 upvotes (top 16%) · 2 views
Niche: llm inference engines · 133 launches, 4 in the last 7 days ▼ -33% · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- Developer
- AI-native
- Commercial product
- apple-silicon
- jev
- local-llm
- local-models
- mlx
Visit website ↗ Source listing ↗
More like this: all 133 launches in llm inference engines →
Could you build this?
Partial Implementing parallel constrained decoding for Apple MLX requires deep knowledge of Apple Silicon Unified Memory architecture, custom Metal kernels, and token-level logit manipulation.
What it would actually take: The architecture relies on Apple's MLX Python/C++ framework, interfacing directly with MLX arrays to mask logits in a single forward pass according to JSON Schema automata. The core difficulty is implementing parallel prefix parsing and dynamic grammar masks directly on Metal GPUs without synchronization bottlenecks. Developing this requires specialized compiler/automata theory and GPU compute optimization expertise.
Competitors
Other products that read as similar to this one : 1762 launches clear the similarity bar, closest 8 shown.
Attention rank: #314 of 1763 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 323 days after the earliest competitor.
- jev_nx · github · 2026-09-21 · 8 upvotes · similarity 0.70
- open-spark-jev · github · 2026-09-20 · 15 upvotes · similarity 0.63
- vllm-jev · github · 2026-09-24 · 72 upvotes · similarity 0.62
- awesome-jev-tools · github · 2026-09-19 · 680 upvotes · similarity 0.61
- awesome-jev · github · 2026-09-18 · 75 upvotes · similarity 0.61
- laya-mps · github · 2026-09-21 · 22 upvotes · similarity 0.60
- Gutsy, a 0.8B Jev-compatible decision model that runs on your CPU · hn · 2026-10-01 · 9 upvotes · similarity 0.60
- open-jev · github · 2026-09-16 · 19 upvotes · similarity 0.60
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