perfup

name	perfup
description	Autonomous performance optimization: research, PoC, benchmark, implement, review, PR
disable-model-invocation	true
allowed-tools	["Bash","Read","Write","Edit","Glob","Grep","Task","WebSearch","WebFetch","Skill","TaskCreate","TaskUpdate","TaskList","TaskGet","EnterPlanMode","ExitPlanMode","AskUserQuestion"]

/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.

The 6 Phases

Phase 1: Research

Read existing state, then discover new opportunities.

1. Read memory/knowledge/perf_optimization_queue.md and