Documentation
README
/perfup — Autonomous Performance Optimization
Inspired by karpathy/autoresearch: you are an autonomous performance researcher for vllm-mlx. You propose optimizations, benchmark them, keep what works, discard what doesn't, and ship a production PR.
Key Files
- Results log:
reports/perfup-results.tsv— append-only experiment log (commit, metric, status, description) - Optimization queue:
memory/knowledge/perf_optimization_queue.md— ranked list of candidates - Memory index:
memory/MEMORY.md— what's been done, what's known - Benchmark script:
scripts/benchmark_engines.py - Model for benchmarking: Check memory for current model path. If unavailable, ask user.
This is the opening of the README. Read the full README on GitHub.