OpenClaw Agents Become Unresponsive After Week 1: Telegram Integration Issues?

A Reddit user on r/openclaw reports a troubling pattern: after a first week where OpenClaw agents were "magic" and automation felt like a "cheat code," by week two agents become completely unresponsive. Sending tasks via Telegram yields no response—"total radio silence." A restart sometimes helps for a bit, then the problem returns.
Key Details from the Post
- First week: agents worked flawlessly, automating tasks effectively.
- Second week: agents stop responding to Telegram messages. User has to restart to get them working again, but it's temporary.
- The user speculates whether this is a Telegram integration issue or something deeper with long-term agent runtime stability.
- No specific error messages or logs mentioned—just unresponsiveness.
What to Check
Based on the symptoms, consider these troubleshooting steps:
- Check Telegram bot token and webhook settings—maybe the connection drops after some idle time.
- Look at OpenClaw agent logs for crashes or memory leaks that could cause the agent process to hang.
- Ensure the host system has enough resources (CPU/RAM) for sustained agent operation.
- Try using a different communication channel (e.g., direct API calls) to isolate if it's Telegram-specific.
- Test with a fresh agent after a clean restart to see if the issue is related to accumulated state.
The community is likely to have more insights—dive into the comments for potential fixes shared by other users.
📖 Read the full source: r/openclaw
👀 See Also

Pre-coding routine with Claude Code: 5 MCP servers before writing a line
A developer shares a 60-90 second routine using 5 MCP servers (memory, codebase graph, Tavily search, Context7 docs) and safety hooks to dramatically reduce hallucinations and wasted edits.

High CPU/RAM and Gateway Restarts in OpenClaw? Disable IPv6 for Telegram
Setting autoSelectFamily: false and dnsResultOrder: 'ipv4first' in Telegram bot config stops ENETUNREACH errors, fixing high CPU, event loop freezes, and gateway restarts.

Claude's Data Sources: When to Request Web Searches for Current Information
Claude sometimes relies on internal training data instead of performing web searches, which may provide outdated information. Users can request web searches specifically to get more current results.

35 Days of Claude Code: Why 3 Parallel Agents Is the Real Ceiling
Analysis of 1,800+ Claude Code turns shows the bottleneck isn't context—it's human join capacity. A simple formula N ≈ 1 / (fraction of time waiting on you) explains the wall at 3 agents.