High CPU/RAM and Gateway Restarts in OpenClaw? Disable IPv6 for Telegram

If your OpenClaw instance has been experiencing high CPU/RAM usage, sluggish responses, and periodic gateway restarts in recent versions (especially with Telegram integration), the culprit may be autoSelectFamily: true (default on Node 22+). A user on r/openclaw traced the issue to failed IPv6 connections causing resource leaks.
The Problem
OpenClaw's Telegram integration on Node 22+ defaults to autoSelectFamily: true, which attempts both IPv4 and IPv6 connections simultaneously. If your network stack isn't IPv6-capable, those connections fail with ENETUNREACH, cascading into event loop stalls. Symptoms include:
- 80-second event loop freezes
- CPU pinned at ~52%
- ~9 gateway restarts per day
sendChatActionfailures
The Fix
Set both autoSelectFamily: false (forces IPv4-only connections) and dnsResultOrder: 'ipv4first' as a belt-and-suspenders approach in your Telegram bot configuration. Example config snippet:
// In your OpenClaw Telegram bot setup
clientOptions: {
autoSelectFamily: false,
dnsResultOrder: 'ipv4first'
}
Results
After applying the fix, the user reported:
- 0 liveness warnings
- 0 ERROR-level log entries
- 0 restarts over 5+ hours
- 0
sendChatActionfailures - CPU dropped from 52% to 4.4%
- No event loop freezes
If you run multiple Telegram bots, the issue may be more pronounced. This fix is applicable to any OpenClaw version using Node 22+ with Telegram.
📖 Read the full source: r/openclaw
👀 See Also

OpenClaw Drift Fix: Four Operator Skills to Harden Agent Workflows
A developer shares four operator skills — Outcome Guard, Direction Clarifier, Routing Enforcer, Completion Verifier — to stop agents from drifting and calling tasks done prematurely.

Worker Agents Shouldn't Write Memory Directly: A Curator-Agent Pattern
A Reddit post details a Memory Curator pattern that prevents worker agents from writing directly to shared memory, routing events through a validation and scoping layer.

Claude Prompt for Visualizing Thinking Structure: Intent, Reality, Gap
A Reddit user shares a 100-word prompt for Claude that asks the AI to notice and reflect back the structural patterns in conversation—categorized as Intent (what you WANT), Reality (what IS), and Gap (what's UNRESOLVED)—rather than the content itself.
Coldstart & End Session Scripts: Better Agent Memory for OpenClaw
An OpenClaw user shares their coldstart and end-session scripts, plus a SOP directory, to help agents context-switch and solve recurring issues without relearning solutions.