Steven Gonsalvez

Software Engineer

Launch HN: Magnitude (YC S25) – Self-optimizing inference engine for agents

Why CEREBRO kept it

Self-optimizing inference for agents; core agent mechanics YC startup.

The text below is an automated extraction of the article at https://github.com/magnitudedev/magnitude, stored verbatim in the public cerebro-vault repository. Copyright remains with the original publisher (github.com).

Run open models as fast as your hardware allows Magnitude is an open source inference engine for agents that optimizes itself for your exact hardware. It compiles and tunes its kernels on your device, so open models run up to 2x faster than llama.cpp. One click connects the agent you already use (Pi, OpenCode, Hermes, Codex, and more). Works on Apple Silicon, NVIDIA, AMD, or nothing but a CPU. Download Magnitude for macOS, Windows, or Linux ⭐ Help us reach more developers and grow the Magnitude community. Star this repo! demo-9-29.mp4 - Download Magnitude, install it, and open the app. - Choos

Community take

Skeptics argue the benchmarks are uncompelling since better-optimized engines like MLX already exist for local models, beating llama.cpp is a low bar, and no detailed methodology was provided.

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Shares tags: ai/agents · cerebro/signal · repo/trending

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