A green process is not the same thing as a recoverable agent.
If an OpenClaw gateway restarts while an agent is running, the important question is not only whether the process comes back. You also need to know:
- Which state survived?
- Which work was interrupted?
- Whether a message was delivered before the crash
- Whether retrying can trigger the same side effect twice
- Whether credentials and policy are still the ones you intended to use
OpenClaw’s restart-recovery documentation describes a useful durability model: conversations, scheduled jobs, background task records, and queued outbound messages are stored on disk, while interrupted work is detected and reconciled after startup.
That is a strong foundation, but operators still need a recovery test. “The service restarted” is only the first green check.
The recovery contract to write down
Before putting an agent on a server, define the expected result for each class of interruption:
| Interruption | Safe expected result |
|---|---|
| Graceful restart | Active work drains or resumes from a durable checkpoint |
| Hard process kill | The next process finds stale ownership and reconciles it |
| Host reboot | State, schedules, and credentials return from durable storage |
| Network loss | Delivery is retried without re-running completed side effects |
| Ambiguous provider response | The system fails closed or resolves a durable receipt |
| Repeated recovery failure | The run is quarantined for operator review |
This contract prevents a common mistake: testing only availability while ignoring execution semantics.
Test the state boundary, not just the process
A restart-safe deployment should make the state boundary explicit. At minimum, identify where these items live:
- Session transcripts and conversation history
- Agent configuration and model routing
- Scheduled jobs and background-task records
- Outbound delivery queues and receipts
- Credentials, pairing state, and provider authentication
- Workspace files and skills
- Logs and recovery markers
For OpenClaw, the official recovery documentation says session data, background tasks, scheduled jobs, and queued deliveries are persisted in SQLite-backed stores or on-disk state. That gives you something concrete to inspect rather than treating the agent as an opaque process.
The operational question is then: are those files on durable storage that is included in your backup and restore plan?
The OpenClaw backup command can create and verify an archive containing configuration, authentication profiles, credentials, and workspace data. A backup that has never been restored is only a hope with a filename.
Add a duplicate-side-effect test
The most dangerous recovery bug is not a visible crash. It is a successful external action followed by an uncertain connection result.
For example:
- The agent sends an email or creates a ticket.
- The provider accepts it.
- The gateway crashes before recording the receipt.
- Recovery sees an incomplete run.
- A naive retry sends or creates it again.
Every side-effecting operation needs a durable idempotency key or an equivalent provider-side deduplication strategy. The recovery path should distinguish these states:
- Not dispatched: safe to run
- Dispatched, confirmed failed: safe to retry under policy
- Dispatched, outcome unknown: reconcile first, then fail closed if necessary
- Completed: record the receipt and do not execute again
Do not let a model decide this classification from a transcript. It belongs in the host, queue, or delivery layer.
Check credential persistence and blast radius
A recovered process should not silently inherit a broader identity than the one that started the run. Test both persistence and revocation:
- Restart with the same credential and confirm the intended session resumes.
- Revoke the credential, restart, and confirm the run cannot continue silently.
- Change the policy while work is paused and confirm the recovery path re-checks it.
- Separate channel credentials from host or cloud credentials.
- Keep backup archives protected because they may contain authentication material.
This is where hosting choice becomes an operational decision rather than a convenience decision. If maintaining a reachable machine, persistent disk, backups, updates, and recovery tests is not work you want to own, a managed OpenClaw hosting runtime can be a practical fit. It does not remove the need to understand state, identity, or recovery semantics, but it can reduce the amount of infrastructure you personally maintain.
That recommendation is conditional: use a hosted runtime when its persistence, credential handling, isolation, observability, and restore process match your requirements. Do not treat “hosted” as a substitute for verification.
A 20-minute failure-injection checklist
Run these tests before calling the deployment production-ready:
- Kill the gateway during a long-running turn.
- Reboot the host with a queued delivery present.
- Drop the network after dispatch but before receipt confirmation.
- Change a credential while a task is paused.
- Remove or corrupt a recovery marker in a test copy.
- Restore a backup to a clean instance.
- Confirm a completed side effect is not repeated.
- Confirm a repeatedly failing session is quarantined rather than retried forever.
Record the expected state, observed state, and operator action for every test. The result should be a small runbook, not a screenshot of a healthy dashboard.
What to do now
- Map every durable state store in your OpenClaw deployment.
- Separate “delivery completed” from “agent execution completed.”
- Add idempotency keys to every external side effect.
- Test credential revocation across restart.
- Restore a backup to a clean environment and verify it actually works.
- Choose self-hosting or a managed runtime based on the control plane you can operate reliably.
The agent model gets most of the attention, but recovery is a host-level property. What is the first failure-injection test you run after deploying an agent?
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