laptop-care
A laptop maintenance agent for Claude Desktop that inspects your machine, explains findings, recommends actions, and remembers history, with safety gates enforced by the server.
README
laptop-care
A laptop maintenance agent that runs inside Claude Desktop. It inspects your machine, explains what it found, recommends what to do, and remembers what it saw last time.
Works on macOS and Windows. No API key, it runs on your existing Claude Desktop subscription. Nothing leaves your machine.
npx laptop-care setup
Then restart Claude Desktop and say "run my laptop maintenance".
What you actually get
A 15 point inspection, presented the way a garage hands you a check sheet after a service. Every point is shown, not just the failures, because knowing 10 things passed is as useful as knowing 2 failed.
LAPTOP INSPECTION REPORT
MacBook Pro 16-inch 2021 · M1 Pro · 32 GB · macOS 26.5.1
First inspection · 15 points checked
STORAGE
Disk space Good 607 GB free of 926 GB, 65 percent
Cache composition Watch Docker 6 GB of it, rebuilds in weeks
SECURITY
Disk encryption Good FileVault on
Startup agents Watch 49 agents and daemons present
MAINTENANCE
OS updates Action 26.5.2 available, security release
Backup Ask No Time Machine, need your answer
10 good · 4 watch · 1 needs action · 1 question for you
Then a verdict in plain language, a ranked list of what to do, and it acts only on what you approve.
Why this is an agent and not a script
A script runs the same 15 commands in the same order and prints the output. This decides what to do based on what it finds and what it remembers.
| A maintenance script | laptop-care | |
|---|---|---|
| Sequence | Fixed, every run identical | Chooses the workflow from detected state |
| Interpretation | Prints values | Explains what a value means for this machine |
| Thresholds | Hardcoded globals | Learns each machine's own normal, flags deviation from that |
| Memory | None, or a log nobody reads | Reads its own history and compares |
| Consent | Runs whatever it was told to | Asks before anything destructive, and is blocked in code if it does not |
| Follow-through | Forgets | Tracks what you skipped and raises it next time |
| Failure | Crashes or prints an error | Reports the check as not completed and continues |
The agent loop in practice:
graph TD
A["User: run my laptop maintenance"] --> B[start_maintenance]
B --> C{First run or returning?}
C -->|First| D[Introduce, explain, ask permission]
D --> E{User agrees?}
E -->|No| F[Stop. Nothing runs.]
E -->|Yes| G[grant_consent unlocks the scanners]
C -->|Returning| H[Load unresolved issues from last time]
G --> I[Run diagnostic checks]
H --> I
I --> J[build_report_card verifies real coverage]
J --> K[analyze_trends compares to this machine's history]
K --> L[Present findings and ranked recommendations]
L --> M{User picks what to act on}
M --> N[Apply approved fixes, verify they worked]
N --> O[Save report, record metrics, track what was skipped]
O --> P[Next run resumes from here]
Guardrails that are code, not instructions
The interesting part is what the agent is unable to do. These are enforced by the server, so they hold even if the model misreads its instructions.
Consent lock. On a fresh install every scanning tool is locked. The model cannot read your disk, battery, or security posture until it has introduced itself and you have said yes.
delete BEFORE consent -> CONSENT_REQUIRED
Sequencing gates. Destructive tools refuse to run until their prerequisite has completed. "Never clean without showing the user first" is a precondition, not a request.
save_report BEFORE diagnostic -> PREREQUISITE_NOT_MET
save_report AFTER diagnostic -> saved
Honest coverage. The inspection card is generated by the server from a log of what genuinely executed. Run 3 checks of 15 and the card says so. The model cannot claim an inspection it did not perform.
Ran 3 of 15 checks deliberately:
total_points : 15
checks_completed : 3
checks_missing : 12
rows locked to "Not checked": 12
The division of labor: the server owns facts, sequencing, and coverage. The model owns judgment and language. Anything that can be enforced is enforced; only what genuinely requires interpretation is left to the prompt.
What it checks
| Category | Points |
|---|---|
| Storage | Disk space, largest folders, cache and temp size, cache composition by owner |
| Power | Battery health and cycles, sleep and wake behavior, uptime |
| Hardware | SSD SMART status, firmware version |
| Security | Firewall and Gatekeeper, disk encryption, startup agents, persistence changes since last run |
| Maintenance | Pending OS updates, backup status |
Persistence monitoring is the one most tools skip. Launch agents and daemons are how unwanted software survives a reboot. laptop-care records them on the first run and afterwards reports only what is new, which is the part worth reading.
What it remembers
Everything stays in ~/.laptop-care/, in your home folder, separate from the installed package. Updating or reinstalling never touches it.
| File | Holds |
|---|---|
health.csv |
One row per run. The basis for "normal for this machine" |
reports/ |
Full markdown report per run |
issues.json |
Findings and their status: open, fixed, skipped, needs you |
persistence.json |
Startup agent snapshot for change detection |
Baselines need history to be useful. Trends become meaningful around the fourth run, and persistence changes start reporting from the second.
Architecture
src/
index.ts MCP server: consent lock, sequencing gates, execution log,
report card generation, lifecycle-aware playbook loading
tools.ts Tool definitions with safety tiers
commands.ts Platform commands keyed by darwin | win32
runner.ts exec wrapper with per-tool timeouts
cli.ts setup, help, and serve
prompts/
kernel.md Always sent on connect. Identity and safety rules.
first-run.md Onboarding workflow. Only for new users.
returning-run.md Follow-up workflow. Only for returning users.
shared.md Judgment, escalation thresholds, tone, report format.
The playbook is split by when it is needed, not by topic. A returning user never loads first-time onboarding. start_maintenance checks whether history exists and hands over only the workflow that applies:
| Situation | Loaded |
|---|---|
| Connect, laptop never mentioned | 438 tokens |
| First run | 4,694 tokens |
| Returning run | 2,811 tokens |
32 tools across three safety tiers: 25 read-only, 6 requiring explicit consent, 1 requiring admin.
Scheduling
On the first run it offers to set up recurring checks, weekly, monthly, or quarterly. It creates a launchd agent on macOS or a Task Scheduler entry on Windows. You can also just say "schedule my maintenance checks" any time.
Without a schedule it still notices when it has been more than 30 days and mentions it.
Manual setup
If npx laptop-care setup cannot find your config, add this to claude_desktop_config.json:
{
"mcpServers": {
"laptop-care": {
"command": "npx",
"args": ["-y", "laptop-care"]
}
}
}
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
For Claude Code: claude mcp add laptop-care -- npx -y laptop-care
Honest limitations
- It reads surfaces. It does not detect malware, verify that a backup restores, or confirm firmware is current against the vendor. It reports what the OS reports.
- History only grows when a run finishes. A run you interrupt records nothing. There is no partial save.
- Baselines need about four runs before "abnormal for this machine" means anything.
- Tone and judgment are prompt-shaped. The safety gates are code and hold absolutely. How well it explains a finding does not.
- macOS and Windows only. Linux returns a clear unsupported error rather than guessing.
Requirements
Node.js 18+, Claude Desktop or another MCP client, macOS or Windows.
License
MIT
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