ram.

Configure V8 heap limit to prevent OOM kills on 1 GB Android device, starting at 384 MB and refined down to 112 MB.

Replace unused ESM channel SDKs with stub packages exporting empty classes, saving ~80 MB RAM and 262 MB disk.

Systematically binary-search the minimum V8 heap cap that survives OpenClaw startup on 1 GB RAM.

Defer 40 MB of module loading at startup using ES6 Proxy-based lazy require with 37 intercepted package prefixes.

Splitting intercepted packages into dead (instant empty stub, zero RAM) and lazy (proxy-deferred, loaded on demand), with 23 packages stubbed out completely to save memory and I/O on a 1 GB phone.

Establish 192 MB as the minimum V8 heap for OpenClaw startup, surviving the ESM module linking spike.

Shrink V8 young generation semi-space from default to 1 MB, saving RAM on I/O-bound gateway with minimal GC overhead.

Reduce libuv thread pool from 4 to 1 on single-core ARM32, saving 2 MB RAM with zero performance impact.

Remove 31 stock Android packages without root using pm uninstall, freeing ~100 MB RAM on Moto E2. Permanent on Android 6.

Configure static IP to decouple WiFi from Google Play Services, enabling safe GMS kill to reclaim 270 MB.

Second debloat pass adding Chrome, defcontainer, and qcrilmsgtunnel to the disabled list, saving additional 100 MB RAM.

Replace WebView launcher with native Android Activity using ScrollView and TextView, cutting RSS from 216 MB to 55 MB.

Redesigned dashboard with green CRT theme and per-process RAM breakdown that revealed WebView as the #1 memory consumer.

Merge three separate background bash kill loops into a single loop, saving 3 MB RAM and reducing process count.

Cron job to periodically kill com.termux.boot Dalvik VM, freeing 40 MB while avoiding the cgroup cascade from killing com.termux.

Managed multi-channel hosting from $19/month. "Deploy in 60 seconds" pitch — Telegram, Discord, WhatsApp.

Stripped-down ZeroClaw fork for resource-constrained hosts. Phi-3 mini default, runs comfortably on a Pi 5.

The default starting point for pocket AI in 2026. 4–8 GB of LPDDR4X, ARM Cortex-A76, sub-€100, runs Hermes Agent (no browser tool) or Nanobot comfortably.

Mini PCs at €300–600 with i5/i7 + 16–32 GB RAM. The sweet spot for self-hosted AI agents that need browser automation and decent local model performance.

The single best small-form-factor host for local LLMs in 2026. Apple Silicon unified memory makes 70B-class models tractable on a desk-sized machine.

Repairable, modular laptop with strong Linux support. The right choice if you want a portable agent host that doubles as a daily driver.

The PocketClaw origin story device. €15–30 used. Genuinely runs lightweight agents via Termux + proot, with serious caveats.

Sub-€500 mini PC with i7-13620H, 32 GB RAM, 1 TB SSD. The pragmatic alternative to the Intel NUC.

Rockchip RK3588-based SBC with 4–32 GB RAM and an NPU. The Pi 5's most credible competitor for AI workloads on ARM.

€150–250 used Ryzen mini PC. 16 GB RAM, NVMe slot, runs Hermes Agent comfortably. The budget winner.