If tasks eventually run after the 20 to 40 second hang, is this still a real production issue?

Yes. A repeatable startup stall can still destroy operator trust and kill interactive throughput even when tasks eventually continue. For high-intent users, a delay before useful work begins is a real usability regression, not just an annoyance.

How can operators quickly tell this is hook-loading regression, not model or network latency?

Watch when the clock starts burning. If the stall happens right after hooks load and before the CLI reaches meaningful task execution, that points to startup-path regression. Model or network latency usually appears later, once a real request is already in flight.

What is the safest immediate workaround while waiting for an upstream fix?

Reduce the startup surface first: bypass or narrow the affected hook path, confirm a minimal command can start normally, and keep operators on the last known good workflow if the regression keeps blocking interactive sessions. The goal is to restore usable response time before attempting broader changes.

OpenClaw CLI May Stall for 20-40 Seconds After Hook Loading Since v4.5+: Why Commands Feel Frozen Even When the Gateway Is Healthy

A newly reported OpenClaw bug points to a painful CLI regression introduced after v4.5: commands such as openclaw gateway status and openclaw sessions list can appear to freeze for 20 to 40 seconds, or longer, even when the gateway itself still answers health checks quickly.

Source issue: openclaw/openclaw#63242

For operators, the important detail is that this does not look like a full gateway outage. The report describes a split state where the gateway responds in about 8ms, but the CLI gets stuck between hook initialization and the WebSocket/RPC phase, with calls such as chat.history and models.list taking roughly 35 seconds.

What the issue report says

According to the bug report:

versions before the regression, such as v4.2, behaved normally
after upgrading to v4.5+, nearly every CLI command became painfully slow
the visible pause happens after the log line loaded 4 internal hook handlers
direct gateway health checks remain fast
the slowdown shows up in downstream RPC calls, not only in terminal rendering

The reported environment is:

OpenClaw 2026.4.5+
Node v22.22.2
WSL2 Ubuntu
npm install method

Why this matters in production

This kind of regression is worse than a simple cosmetic delay.

Many teams use the CLI as the fastest operational surface for jobs like:

checking whether the gateway is alive
listing sessions before a follow-up action
validating cron state
confirming model availability
triaging incidents under time pressure

When the gateway is actually healthy but the CLI feels dead, operators can make the wrong call. They may restart a working service, blame the network, or assume a broader runtime failure that is not really there.

That means the real damage is not only slower commands. It is bad operational decisions caused by misleading symptoms.

What makes this different from a normal slow machine

The issue is notable because the report separates two layers that are often blamed together:

the gateway health path is still fast
the CLI command path becomes slow after hooks load

That suggests the regression may live closer to one of these boundaries:

CLI startup or post-hook connection flow
WebSocket setup between CLI and gateway
RPC request handling on specific methods used by the CLI
a cross-version interaction introduced after v4.2

In other words, this does not read like “the whole box is overloaded.” It reads more like the command transport path is degraded while the basic gateway endpoint still works.

How to verify you hit the same bug

You are likely hitting the same regression if most of the following are true:

direct gateway checks are fast
CLI commands hang after hook loading
the visible delay is in the 20 to 40 second range, or worse
methods such as chat.history or models.list show very large RPC times in logs
the slowdown started after moving from v4.2 to v4.5+

That helps separate this report from simpler causes such as:

a dead gateway process
DNS or proxy failures affecting every request equally
a broken shell profile
a one-off network blip
a local machine under general CPU or disk pressure

What operators can do before a fix lands

Until upstream narrows the root cause, the safest move is to treat the CLI as degraded but not necessarily authoritative when this symptom appears.

1) Confirm gateway health separately

If CLI commands feel frozen, run a direct health check before restarting anything. The report specifically shows a case where the gateway is still healthy while CLI calls are slow.

2) Capture the gap around hook loading

Keep the timing around these points:

hook handlers finish loading
WebSocket connection starts
RPC methods return

That timeline is much more useful to upstream than a generic “CLI is slow.”

3) Avoid panic restarts unless the service path is also broken

If your API path, automation path, or gateway health endpoint is still healthy, a restart may hide the signal you need for diagnosis.

4) Compare with a known-good older version if you can

Because the report frames this as a regression from v4.2 to v4.5+, version comparison is one of the fastest ways to confirm whether you are seeing the same class of failure.

The bigger operational takeaway

The most important lesson from this report is simple: CLI latency is not always the same thing as gateway failure.

If this regression is confirmed more broadly, teams should update their runbooks so incident handling does not rely on a single slow CLI command as proof that the platform is down.

A better pattern is:

check gateway health directly
compare CLI timing with endpoint timing
capture RPC latency details
only then decide whether the problem is service-side, transport-side, or CLI-side

Common rollout questions

When should you treat this as a CLI transport regression instead of a gateway outage

If direct gateway health checks stay fast while CLI commands still freeze after loaded 4 internal hook handlers, the safer working assumption is that the command transport path is degraded rather than the whole gateway being down. That is the point where incident handling should switch from restart-first behavior to evidence collection, because a healthy endpoint plus slow RPC methods is a very different failure class from a dead service.

Which teams should block upgrades to v4.5+ until they can reproduce or rule this out

Teams that depend on the CLI for live operations, incident response, or automation checks should be the first to pause or stage upgrades more carefully. If your runbooks assume openclaw gateway status and openclaw sessions list are fast enough to guide paging or rollback decisions, this regression can turn a healthy deployment into an apparently broken one and trigger unnecessary restarts.

Search-intent comparison: slow CLI after hook loading vs a genuinely dead gateway

Operators often search for this symptom with the wrong frame, which delays triage. A more useful comparison is:

Gateway health checks stay fast, but CLI commands pause for 20 to 40 seconds after hook loading
- that points more strongly to a CLI or RPC path regression than to a full service outage.
Every endpoint, health check, and automation path is also slow or failing
- then the problem surface is wider, and you should stop narrowing the blame to the CLI.
The slowdown appears right after upgrading from v4.2 to v4.5+
- that makes a version-specific regression far more likely than a random host slowdown.
Only one shell, plugin, or local profile behaves badly while other environments remain fast
- then it may be a local wrapper or environment issue rather than the same upstream bug.

This distinction matters for search traffic too. People searching for OpenClaw CLI hangs after loaded 4 internal hook handlers are usually trying to decide whether to restart the gateway, roll back the version, or trace the CLI transport path. The page should help them choose the right branch faster.

What should the on-call handoff include after temporary mitigation

If you mitigated the issue, leave a short handoff note covering:

whether you switched operators to direct health checks, pinned an older version, or captured timing on the affected build
one representative command that stalled, such as openclaw gateway status or openclaw sessions list
whether gateway health remained fast during the incident window
which upstream issue or version checkpoint the next operator should watch before removing the workaround

That handoff prevents the next responder from re-running the same “is the gateway actually dead?” investigation from scratch.

Decision matrix: restart, rollback, or keep collecting evidence?

When the CLI freezes after hook loading, the next action should depend on which signal is still healthy:

Gateway health is fast, but CLI RPC calls are slow: keep the gateway running, collect timing around hook loading and RPC calls, and avoid restart-first triage.
The slowdown started immediately after moving to v4.5+: prioritize a staged rollback or version comparison before spending the whole incident window on host-resource graphs.
Health checks, automation paths, and CLI commands are all slow: widen the incident boundary, because this no longer looks like the narrow CLI regression described in the report.
Only one shell profile, plugin wrapper, or machine reproduces it: check local wrappers and environment drift before escalating it as a platform-wide outage.

This matrix is useful for search visitors because it turns a vague symptom, "OpenClaw CLI hangs", into a concrete first decision: preserve evidence, roll back the version, or widen the outage investigation.

If you arrived here from the 2026.3.13 release note

This page now sits next to the 2026.3.13 release note in the same GA4 traffic cluster, but it answers a different question. Use it as an incident-triage page, not as a generic upgrade summary.

Stay on this page if the symptom is a 20-40 second pause after hook loading, slow gateway status, or slow sessions list while direct health checks remain fast.
Go back to the 2026.3.13 release note if you are still deciding whether signed-in Chrome attach, batched browser actions, or bounded gateway timeouts justify adoption.
Compare both pages only after you have captured version, hook count, Node version, and one exact slow command; otherwise you may mix a release-readiness question with an on-call regression.

That split gives search visitors a clearer next click: rollout evaluation belongs on the release note, while command-path delay evidence belongs here.

Bottom line

OpenClaw issue #63242 is worth watching because it affects a high-value operator workflow: fast command-line control during debugging and maintenance.

If your CLI started stalling after moving to v4.5+, especially after hook loading, do not assume the gateway itself is dead. The currently reported evidence points to a regression where the service may still be healthy while the CLI path becomes slow enough to feel unusable.

FAQ for search and on-call triage

If `openclaw gateway status` is slow but the health endpoint is still fast, what should operators assume first?

They should not assume the gateway is dead.

The safer first assumption is CLI control-path degradation, because the current report describes exactly that split state:

health still works
the gateway may still be serving
the CLI feels frozen enough to mimic a broader outage

That distinction matters because restart-first behavior can destroy useful evidence while the service itself may still be alive.

When is version rollback a better first check than staring at host resource graphs?

Rollback deserves priority when these signals line up together:

the slowdown starts only after moving to v4.5+
an older build such as v4.2 does not show the same behavior
health checks stay fast
the delay clusters after hook loading and around RPC calls

That pattern fits a version-level regression much better than a general host slowdown.

If someone searches for `loaded 4 internal hook handlers hangs`, what should this page help them decide first?

It should help them answer three questions quickly:

is gateway health still fast
does the stall start only after hook loading
did this begin after an upgrade rather than existing all along

Those three checks are the fastest way to route the user toward a CLI/RPC regression versus a broader service failure.

What should first-line support ask for before escalating this as a platform outage?

Ask for one command example, one timing comparison, and one version checkpoint:

which command stalled, for example openclaw sessions list
whether direct gateway health was still fast during the same window
whether the slowdown started only after upgrading to v4.5+

That bundle is enough to tell whether support should escalate this as a probable regression or keep looking for a broader host or network problem.

Why does this page matter for search traffic if the current visits are still low?

Because the query intent is unusually strong.

People searching for phrases like openclaw CLI hangs after loaded 4 internal hook handlers or openclaw gateway status takes 30 seconds are usually already blocked in live operations. A page that helps them separate CLI transport pain from real gateway death has a much higher chance of earning long-dwell troubleshooting traffic than a generic release note.

What is the safest immediate mitigation if the team needs CLI-based incident handling tonight?

If the team still needs command-line operations during an incident, the lowest-risk mitigation is usually to switch decision-making to direct health checks and known-good older builds before attempting mass restarts.

That keeps the control path usable enough for tonight's operations while reducing the chance that a slow CLI will trigger the wrong outage response.

What evidence should operators save before they downgrade or pin back to an older version?

Before rollback, keep a small comparison bundle:

one stalled command example such as openclaw gateway status
the matching gateway health timing from the same window
the exact affected version and the last known-good version
one log snippet showing the pause after loaded 4 internal hook handlers

That set is usually enough to justify rollback internally and to compare behavior again after the upstream fix lands.

What should operators check before blaming hooks alone

The log line loaded 4 internal hook handlers is an important time marker, but it is not proof that hooks are the root cause. Before a team strips hooks out of production, check three narrower boundaries first:

whether the stall begins immediately after hook loading or only once WebSocket or RPC traffic starts
whether the same hook set stays fast on v4.2 but slows down on v4.5+
whether gateway health remains fast while CLI transport becomes slow enough to feel frozen

If those three checks line up, the page should steer readers toward a CLI transport or regression frame, not a reflexive our hooks are broken conclusion.

A short pre-escalation bundle for teams seeing `loaded 4 internal hook handlers` hangs

Before you escalate this as a wider platform outage, capture one small evidence bundle:

one representative stalled command, such as openclaw gateway status
one matching direct health-check timing from the same window
the exact affected version and the last known fast version
one log slice showing where the delay begins after hook loading

That bundle is usually enough to separate an upgrade regression from a host-wide slowdown, and it makes this page more useful for strong search intent queries.

Leave a four-point recovery note after temporary mitigation

If a restart, rollback, or hook disablement temporarily restores CLI responsiveness, do not close the incident immediately. Leave four recovery artifacts first:

Recovery action: state whether you restarted the CLI, rolled back the version, disabled a hook, or moved to another machine.
Before/after latency: measure the same command before and after mitigation, so the 20-40 second hang is not judged by feel alone.
Hook boundary: list which hooks stayed enabled and which were disabled, making it easier to separate slow hooks from slow post-hook initialization.
Recurrence trigger: record whether the next hang appears on cold start, first model call, directory change, or every command.

This turns “the CLI works again” into traceable recovery evidence, and helps readers searching for loaded 4 internal hook handlers hang decide whether to roll back, keep collecting evidence, or upgrade to a steadier version.

Route CLI regression traffic into one owner action

After the evidence bundle is saved, assign one owner action instead of leaving the team with a generic “CLI is slow” note:

Release owner: compare the affected version with the last known fast build and decide whether to pin or roll forward.
Ops owner: keep health checks and direct gateway checks separate from CLI timing so responders do not restart healthy services.
Support owner: attach the command, version, hook boundary, and before/after latency to the upstream issue or internal incident.

That makes this page stronger for high-intent search traffic because every visitor leaves with a concrete escalation path, not only a diagnosis.

90-second on-call split: protect the CLI or protect the service?

If direct or search traffic lands here, the reader is usually not browsing news. They are deciding what to do during an on-call window. Split the impact first:

Only the CLI slows after hook loading while service APIs and Gateway health remain normal: preserve evidence and avoid turning the symptom into a full restart.
The slow CLI now blocks automation delivery: temporarily pin back to the known-good version and record the first slow command.
CLI, Gateway, and Web UI all fail together: leave the single-regression path and move to the full troubleshooting checklist as an operational incident.

This routing reduces bad mitigations by separating performance regression, service outage, and upgrade evaluation.

A six-command evidence pack for search visitors

If you are about to escalate this CLI slowdown, do not only write “it is slow.” Capture these six signals in the issue, chat thread, or incident note first:

openclaw --version: confirm whether the machine recently moved from v4.2/v4.3 to v4.5+;
time openclaw gateway status: show whether the delay appears before, during, or after hook loading;
curl -s -o /dev/null -w "%{http_code} %{time_total}\n" <health-url>: prove whether Gateway health still responds quickly;
one unrelated local timing sample such as time node -v or time git status;
the latest upgrade, restart, model config, or plugin config change time;
whether only the CLI is slow, or Feishu, Discord, and API automation are slow too.

This evidence pack turns “the CLI feels stuck” into a reproducible performance-regression report and keeps readers from escalating a hook-loading issue into a full service outage.

Add a five-line decision log to the incident ticket

A CLI performance regression often leaves behind many command outputs but no decision. Add a five-line log to the ticket or upstream issue:

Classification: CLI transport is slow, hook initialization is slow, or Gateway / Web UI are also unhealthy.
Scope: which machines, versions, and automation jobs are affected.
Temporary policy: pin an older version, disable one hook, wait for upstream, or keep sampling.
Recovery condition: the exact command latency and repeat count required before you call it recovered.
Review time: when someone will re-check the version, logs, and public issue.

Those five lines move the reader from “I collected evidence” to “I know how to close the loop.” For high-intent search traffic, that is more useful than one more slow command sample.

What to link from internal runbooks

If this article is used from a runbook, link it at the decision point where the operator has already confirmed that OpenClaw starts but becomes slow after hook loading. The best internal anchor text is not “OpenClaw is down.” Use one of these sharper phrases instead:

“CLI hangs after loading internal hook handlers”;
“OpenClaw command latency regressed after upgrade”;
“Gateway is healthy but the CLI startup path is slow.”

Those anchors match the searcher’s real intent and keep incident readers from mixing a CLI regression with a full platform outage. They also make the page easier to reuse from release notes, support replies, and future regression updates.

Exact searches this page is meant to answer next

This page is already attracting high-intent traffic, so the next growth step is to answer the long-tail phrases operators are likely to type during an incident:

openclaw loaded 4 internal hook handlers slow
openclaw gateway status hangs but health check works
openclaw sessions list 35 seconds models.list
openclaw cli slow after v4.5 upgrade

For these searches, the useful answer is short: split CLI startup delay, gateway health, and RPC timing before you restart anything. If only the CLI path is slow, preserve evidence and test a known-good version before treating the gateway as dead.

Turn CLI-hang traffic into a performance-regression checklist

If you arrived because the OpenClaw CLI hangs for 20 to 40 seconds after hook loading, do not start by reinstalling dependencies. Split startup into four timestamps: command entry, hook discovery, plugin initialization, and the first agent or runtime call. Timing each segment separately shows whether the wait comes from the local shell, plugin scanning, network auth, or runtime initialization.

The minimal checklist includes one timestamped startup log, the current Node and pnpm versions, the enabled hooks or Skills list, and a comparison startup time with plugins disabled. That routes CLI performance traffic toward reproducible benchmarks, fallback toggles, and team upgrade-blocker assessment instead of leaving it at a vague slowdown report.

Source

Bug report: openclaw/openclaw#63242