Muse Code Long-Task Interruption: 2026 Recovery Guide

Decision: Do not restart the same Muse Code target immediately after an interruption. First compare the event log, workspace state, and external side effects. Continue only when those three records agree; otherwise roll back, terminate, or rebuild from a clean checkpoint.

This guide fits developers testing long Muse Code sessions, platform engineers managing remote coding environments and session lifecycles, and technical leads reviewing Agent-generated changes. It assumes a large repository, background work, or several dependent edits rather than a short one-shot prompt.

Last updated August 12, 2026. The recovery model was checked against the available official Muse Spark release material and current Git documentation. Muse Code’s local event-log recovery behavior is officially described, but exact recovery accuracy, cross-version compatibility, and failure patterns still require testing under the version and runtime used by each team.

A failed recovery is more dangerous than a visible crash. In one common pattern, the session reconnects, the developer sees an unfinished task, and the Agent runs the same migration or notification command again. The files may look correct while an external system has already received the first request.

The safe rule is simple: a recovered session is evidence to inspect, not permission to replay.

Muse Code long-task interruption

Muse Code is designed for extended agentic coding workflows. The underlying model family has been described as supporting long context, tool use, planning, and multi-agent orchestration. The official release material for the previous generation states that it can manage a context window of up to 1 million tokens, but that capability does not make a session transactional or make every tool call reversible. Official model release details

A long task can stop at several different layers:

• The terminal or SSH connection disappears while the process continues.
• The local process exits while already-written files remain in place.
• The model request fails after a tool was accepted but before its result reached the session.
• A background Agent finishes, but the parent session never receives the result.
• A human or parallel Agent changes the same workspace during recovery.

These cases produce similar symptoms: silence, an incomplete response, or a session that appears to have lost context. They do not have the same recovery path.

Muse Code crash recovery should begin with classification, not a new prompt.

Terminal disconnect versus process exit

Start by checking whether the process is alive before launching another instance.

pgrep -af "muse|code"
ps -o pid,ppid,stat,etime,command -p "$PID"

A useful output might look like this:

PID   PPID STAT     ELAPSED COMMAND
8124  8011 S+       01:17:42 muse-code --workspace /srv/payments

If the process remains active, reconnect to the existing session or inspect its attached output. Starting a second Agent against the same directory creates a concurrency problem. It can read partially written files, repeat pending tool calls, or invalidate the first process’s assumptions.

For remote sessions, use a terminal multiplexer during reproduction. GNU Screen supports detached sessions that can be reattached after a terminal or carrier disconnect, which helps separate a client-side disconnect from a process failure. GNU Screen session management documentation

screen -S muse-recovery
muse-code --workspace /srv/payments

Detach with Ctrl-A followed by D, then reconnect with:

screen -ls
screen -r muse-recovery

A multiplexer does not make Muse Code transactional. It only preserves the process boundary more reliably while the terminal connection changes. The event log and workspace still need independent verification.

If no process remains, record the approximate exit time before cleaning anything. The difference between “process ended at 14:12” and “the connection dropped at 14:12” matters when comparing the final event-log entry with file modification times.

Also check the session host, not only the client. A terminal window closing is not proof that the remote process stopped. Conversely, a persistent terminal multiplexer session is not proof that the model request completed.

Model request failure versus completed tool

A request failure can occur after the Agent has already changed the repository. Never infer file state from the final assistant message alone.

Inspect the event log for:

1. The last model turn that was accepted.
2. The last tool invocation identifier.
3. The tool result or timeout record.
4. The first event after reconnection.
5. Any retry marker attached to the same operation.

Use a read-only inspection command first. The exact path depends on the Muse Code build, so teams should obtain the log location from their runtime configuration rather than assuming one universal directory.

find "$HOME" -type f \
  \( -iname '*event*log*' -o -iname '*muse*log*' \) \
  -mmin -180 2>/dev/null | head -40

Then search for operation identifiers, retry markers, and failure terms:

grep -nEi \
  'tool|retry|timeout|error|commit|push|message|request|result' \
  /path/to/event-log.jsonl | tail -80

An event log is an audit trail for reconstruction. It is not automatically a transaction system. A recorded tool call does not prove that the remote service accepted the request. A missing result does not prove that the request was rejected. The only safe conclusion is the one supported by both the log and the external system.

Duplicate side effects and missing idempotency

The highest-risk recovery error is replaying a tool that changes something outside the repository.

Typical examples include:

• Creating or closing an issue.
• Sending a message.
• Publishing a package.
• Triggering a deployment.
• Charging a service.
• Calling a webhook.
• Creating a database migration record.
• Pushing a commit or opening a review request.

Why does Muse Code repeat a tool after recovery? Usually because the session can see an unfinished logical step but cannot prove whether the previous invocation completed. A retry may be reasonable for a read operation. It is unsafe for an irreversible operation unless the operation has an idempotency key or a human-approved reconciliation step.

Check the event log for the tool identifier and payload hash. Then query the destination system directly.

grep -n '"tool_call_id":"tc_7f31"' /path/to/event-log.jsonl

curl -sS https://api.example.invalid/jobs/previous-request \
  -H "Authorization: Bearer $TOKEN" \
  | jq .

The URL above is only a placeholder pattern. Replace it with a read-only endpoint in the real system. Do not send a second mutation merely to test whether the first one happened.

A safer wrapper records an operation key before performing the side effect:

set -euo pipefail

OP_KEY="repo-migration:${GIT_COMMIT_SHA}:schema-v4"
STATE_FILE=".agent-operations/${OP_KEY}"

if test -f "$STATE_FILE"; then
  echo "Already recorded: $OP_KEY"
  exit 0
fi

mkdir -p .agent-operations
printf '%s\n' "started $(date -u +%FT%TZ)" > "$STATE_FILE"

# Perform the external operation only after human or policy approval.
./run-migration.sh

printf '%s\n' "completed $(date -u +%FT%TZ)" >> "$STATE_FILE"

This pattern is not a complete transaction protocol. A crash between the external operation and the final write can still leave ambiguity. The destination system should also support a stable idempotency key or a queryable request record.

For non-reversible actions, use a hard stop:

If event log says "invoked" but no confirmed result exists:
  stop
  query the destination
  request human approval
  resume only with the original operation key

Do not “fix” duplicate behavior by increasing retries. More retries can turn one uncertain operation into several real operations.

Workspace drift and code recovery

The second failure class is state drift. The event log says the Agent changed files A and B, but the current workspace contains changes to A, B, and C. Or the log records an edit that no longer exists because a human reverted it.

Git can show differences between HEAD, the index, and the working tree, including untracked files. That makes it useful for recovery, but only if the comparison starts from a known baseline. Git status documentation The lower-level comparison commands are documented in the official Git diff reference.

Run these commands before asking Muse Code to continue:

git rev-parse --show-toplevel
git status --short
git diff --stat
git diff --name-status
git ls-files --others --exclude-standard

Example:

 M src/auth/session.ts
 M tests/auth/session.test.ts
?? .agent/checkpoints/step-04.json

Now compare the result with the event log:

• Does every modified file appear in an edit event?
• Does every edit event have a corresponding file change?
• Are timestamps consistent?
• Did a human modify the workspace after the last Agent event?
• Is a temporary file present but absent from the recorded plan?
• Did another Agent use the same branch or directory?

What should you do when Muse Code restores but the code state is inconsistent? Stop the current session and preserve the evidence. Do not let the Agent “clean up” the mismatch in place. When the source of drift cannot be proven, create a new worktree from the last trusted commit or checkpoint.

Git worktrees allow multiple linked working directories attached to one repository. They are useful for isolating a recovery attempt from the damaged or ambiguous workspace. Git worktree documentation

git fetch --all --prune
git worktree add --detach ../repo-recovery "$TRUSTED_COMMIT"
cd ../repo-recovery

git status --short
git log -1 --oneline

The new directory should begin clean. Copy only the required evidence and explicitly approved patches. Do not copy the entire damaged workspace over the clean worktree.

For teams running several Agents, use one worktree per task or per isolated branch. Shared directories make event-log interpretation much harder because a valid edit from one task can look like unexplained drift in another.

Background Agents and stale results

A background sub-Agent can fail without taking down the parent process. It can also return a result that was valid when created but stale when merged.

Check three fields:

• Task identifier.
• Creation and completion timestamps.
• Commit, worktree, or file references included in the result.

A result that says “tests passed” is not enough. Confirm the test ran against the same commit and dependency state now present in the workspace.

git rev-parse HEAD
git status --short
git diff --submodule=log

If the background result references commit abc1234 but the current worktree is at def5678, treat the result as stale. Re-run the relevant test suite against the current baseline.

Do not merge a stale result because the code “looks similar.” Long tasks often contain generated files, lockfile changes, migrations, and environment-dependent tests. Similar source text does not guarantee an equivalent execution state.

A practical recovery rule:

• Same task identifier.
• Same trusted baseline.
• Same workspace or a documented equivalent.
• Same test conditions.
• Fresh verification after merge.

If any condition fails, discard the result as evidence of intent only, not evidence of correctness.

Checkpoints and controlled continuation

How should you set checkpoints for a Muse Code long task? Split the work at reversible boundaries. A checkpoint should identify the repository state, the intended next action, and any external operation that has already occurred.

A useful checkpoint file can be committed or stored beside the event log:

{
  "task": "session-refresh-migration",
  "baseline": "abc1234",
  "completed": [
    "updated session parser",
    "added regression tests"
  ],
  "pending": [
    "run integration tests",
    "prepare migration plan"
  ],
  "external_operations": [],
  "verification": {
    "unit_tests": "passed",
    "integration_tests": "not-run"
  }
}

Create checkpoints after meaningful stages, not after every generated line. Good boundaries include:

• Plan accepted.
• First coherent code change complete.
• Unit tests passed.
• Integration test environment prepared.
• External operation approved.
• Commit created.
• Deployment or publication confirmed.

Before continuing, ask Muse Code to inspect the checkpoint and produce a read-only reconciliation report. The report should list what it believes is complete, what the workspace proves, and what the event log proves. Require an explicit mismatch list.

Recovery mode:
1. Do not edit files.
2. Do not call external mutation tools.
3. Compare checkpoint, event log, Git status, and current commit.
4. List each mismatch.
5. Wait for approval before continuing.

This adds a manual gate, but it prevents the most expensive class of recovery mistake: treating a partially observed action as an uncompleted action.

Recovery gates and evidence handling

When recovery fails, choose one of four dispositions. Do not leave the session in an undefined “try again” state.

Disposition	Use when	Required evidence	Next action
Continue	Event log, workspace, and external state agree	Clean diff mapping and confirmed side effects	Resume from the next checkpoint
Roll back	The change is unwanted but the baseline is trusted	Preserved diff, checkpoint, and test output	Restore only approved files or commit
Terminate	Evidence is incomplete or an irreversible action is uncertain	Event log, tool output, timestamps, destination query	Stop automation and obtain human review
Rebuild	Workspace drift or stale Agent results cannot be explained	Trusted commit and preserved original artifacts	Create a clean worktree and reconstruct

Preserve evidence before rollback:

mkdir -p recovery-evidence
cp /path/to/event-log.jsonl recovery-evidence/
git diff > recovery-evidence/worktree.diff
git status --short > recovery-evidence/status.txt
git log -20 --oneline > recovery-evidence/recent-commits.txt

Also save tool outputs, process identifiers, environment details, and the approximate failure time. Avoid deleting temporary files until the investigation is complete. A cleanup command can destroy the only record that explains whether the Agent wrote a file before exiting.

The recovery decision should be based on proof, not confidence. “It probably stopped before sending” is not a safe basis for replaying a message, deployment, or payment.

Current setup versus an isolated Mac node

A local laptop or shared Linux host can run Muse Code, but long tasks expose three recurring weaknesses: the terminal session may depend on an unstable connection, multiple Agents may compete for one workspace, and the host may be reclaimed or modified by another developer. A cloud shell can add similar problems through idle termination, missing credentials, changing images, and limited control over the filesystem.

For short experiments, those trade-offs are acceptable. For a long repository migration or background Agent workflow, an isolated Mac environment gives the team a stable workspace, persistent local evidence, and a clearer boundary between the coding session and the operator’s daily machine.

That does not mean renting a Mac is always the right answer. A team with steady, heavy utilization may be better served by purchasing and managing its own hardware. A workflow that requires physical devices, custom peripherals, or low-level host access may also need a dedicated local machine. But when the goal is temporary capacity, controlled reproduction, or a clean recovery node, renting a Mac through leapmac can be simpler than repairing a shared workstation after every interrupted run.

Before moving a production-like task, reproduce the failure once in an isolated environment. Capture the event log, disconnect method, process state, workspace diff, and recovery result. Then use those observations to define the checkpoint and approval gates for the formal node. That approach costs less than discovering during a live migration that a “resume” action can repeat an external operation.