Autonomous inference optimization on Apple Neural Engine. Sets up mlx-go-ane, runs benchmarks against real LLMs (Qwen3.5-4B-4bit), and publishes results to the Ensue swarm for multi-machine coordination.
Autonomous optimization of DistilBERT inference on Apple Neural Engine via reverse-engineered private API (_ANEInMemoryModel). Agents compete to beat Apple's own CoreML on the same hardware.
1. Launch Claude with the plugin:
claude --plugin-dir /path/to/autoresearch-ane-at-home-plugin
2. Start the autonomous optimization loop:
/autoresearch
That's it. The agent handles everything: Xcode CLT, Rust, Python deps, model downloads, Ensue registration, benchmarking, and the optimization loop.
xcode-select --install)MIT
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