13 Weeks with OpenClaw as Daily Driver: What Worked, What Broke, What Still Hurts

✍️ OpenClawRadar📅 Published: May 11, 2026🔗 Source
13 Weeks with OpenClaw as Daily Driver: What Worked, What Broke, What Still Hurts
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After 13 weeks of running OpenClaw as his primary personal agent system on a Raspberry Pi — handling Telegram chat, long-term memory, cron jobs, subagents, research workflows, and external APIs — one r/openclaw user posted a detailed recap. The verdict: OpenClaw is powerful enough to treat as infrastructure, but still rough enough that you need patience, logs, backups, and a willingness to debug weird edge cases.

What Worked Well

  • Workflow layering. The agent sits between messaging, files, crons, APIs, memory, and tools. The cron system is genuinely useful — recurring jobs collect, process, summarize, notify, and trigger follow-up workflows. Once tuned, they become boring in the good sense.
  • Memory — if curated. OpenClaw can remember decisions, project state, preferences, mistakes, and prior fixes. But letting every raw fragment into long-term memory turns it into sludge. With cleanup and project-specific memory files, it becomes a real operating layer.
  • Subagents for bounded tasks. Most useful pattern: human decides direction, main agent coordinates, subagents do bounded analysis or implementation, main agent verifies. Less useful when context is vague or model/config routing is not explicit.
  • Continuity. The biggest success is not one feature — it's that the system now handles operational memory, scheduled checks, recurring analysis, technical debugging, config reviews, small code changes, and structured follow-up daily.
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What Broke or Annoyed

  • Model/config issues. Early on, local/small model setups (e.g., 4k context) couldn't handle OpenClaw's system prompt plus tools. “Assistant turn failed” errors often traced back to API key/config problems, not RAM.
  • Cron + subagent interaction gap. Scheduled workflows spawned a subagent that did work correctly, but the parent couldn't read child output because agent-to-agent history was disabled. Fix: redesign so the child writes results directly (write —file) instead of relying on parent readback.
  • Shell quoting. Passing JSON through shell commands broke on apostrophes and nested quoting. Fix: write JSON to a temp file and pass --file.
  • Update drift. OpenClaw updates improved startup performance and memory pressure on the Pi, but update days required caution — config drift, ACP command drift, docs drift. Had to check what actually changed rather than trusting all was fine.
  • Subagent model override. Defaults were not always respected; now passes model/agent IDs explicitly.
  • ACP unreliability. Claude ACP via OpenClaw failed with internal runtime errors; direct ACP/CLI paths worked.
  • Secrets/config hygiene. OpenClaw supports structured SecretRefs, but old config/auth-profile files can still contain plaintext secrets. Migrating safely requires backups, schema checks, and rollback planning.
  • Resource pressure on Pi. Long-running Claude/Codex processes, crons, and memory artifacts accumulate. Added cleanup routines; archived a dead project that had grown to ~1.6 GB of regenerable bloat.

Who It's For

Developers running OpenClaw as a personal agent system — especially on constrained hardware — who want a ground-truth account of real-world pain points and practical workarounds.

📖 Read the full source: r/openclaw

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