AI & Automation

OpenClaw 3.31 Upgrade Playbook (04/01/26)

This guide turns the video into a practical implementation path so you can decide whether to upgrade to OpenClaw 3.31 now, adopt its highest-impact features, and avoid breaking your production agent stack.

What changed in 3.31 (and why this release matters)

High-impact changes

  • Unified background task control via openclaw flows ... commands
  • Improved model-provider failover behavior during outages
  • Security hardening for plugin/skill installs and gateway auth
  • Remote MCP support (HTTP/SSE) with safer credential handling
  • Cross-agent memory search for better multi-agent coordination

Smaller but useful quality-of-life updates

  • WhatsApp emoji reactions for more natural channel behavior
  • Slack-native exec approvals to reduce context switching
  • QQ bot channel support for broader international usage

The video’s core message: this is not a cosmetic update. For active operators, it changes observability, resilience, and collaboration between agents.

Prerequisites before upgrading

Do not upgrade blindly just because a release exists. Upgrade when the new features solve your current bottlenecks.

Step-by-step upgrade workflow (recommended path)

  1. Map your current dependency surface. List every plugin, skill, model provider, and external integration your production agents rely on.
  2. Prioritize 3.31 features by operational value. If you run multiple agents and scheduled tasks, put background flow control and failover behavior at the top.
  3. Create a small canary test set. Pick 1–2 representative workflows and define exact success criteria (output quality, latency, error handling, approvals).
  4. Upgrade in a controlled window. Apply the update when interruption risk is low and support time is available.
  5. Validate flow visibility first. Check unified task observability with:
    • openclaw flows list
    • openclaw flows show <id>
    • openclaw flows cancel <id>
  6. Simulate a provider disruption. Verify that your fallback model/provider path continues work during API instability.
  7. Check security behavior. Confirm plugins/skills with unsafe patterns are blocked, and validate gateway auth/trusted proxy settings still match your deployment.
  8. Pilot remote MCP carefully. Test one remote MCP integration first, then inspect logs to confirm credential redaction and expected auth headers.
  9. Enable cross-agent memory deliberately. Define which agents should be allowed to search each other’s history to improve reuse without over-sharing irrelevant context.
  10. Graduate from canary to production. Only scale to all workflows after two or more successful cycles with no critical regressions.
Decision rule: If 3.31 reduces monitoring pain, improves outage resilience, and saves coordination effort, the upgrade is justified.

How to use each major feature in real operations

1) Unified background task control

2) Outage failover handling

3) Security hardening

4) Remote MCP support

5) Cross-agent memory search

Success checks

Troubleshooting

Sources

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