Magnitude (YC S25) is a self-optimizing inference engine for agents that dynamically compiles and tunes kernels on-device, claiming up to 2x faster performance than llama.cpp. It features hybrid paged attention, dynamic memory allocation, and is designed specifically for running multiple local agent sessions concurrently without hogging hardware resources.
Background
Local LLM inference engines like llama.cpp, vLLM, and Ollama have become popular, but few are optimized for the unique demands of running AI agents locally with long-lived, concurrent sessions.
- Source
- Hacker News (RSS)
- Published
- Oct 1, 2026 at 01:37 AM
- Score
- 6.0 / 10