headroom v0.35.0 Cut Hot-Path Latency 27% and Patched a TrafficLearner Memory Leak

GitHub·medium signalXBlueskyLinkedInCopy link

`headroomlabs-ai/headroom` (66,149 stars, Python) released v0.35.0 on 2026-08-13, the token-compression proxy that claims 20% fewer tokens for coding agents and 60–95% for JSON. The headline is PR #2838, a 27% hot-path latency cut from token-count memoization, startup preloads and JSON-scan memoization, alongside PR #2579 bounding the TrafficLearner pending-pattern accumulator that was leaking memory. Also notable for anyone running it in front of a subscription: prompt-cache TTL pricing in the CLI (#2802), an h2 bump for CVE-2026-71554 (#2839), a beacon fix so savings are reported across all layers rather than context compression only (#2796), and a `--userns=keep-id` install fix for Podman bind mounts (#2846).