Real capture, 46 seconds. One session working; the bars advance as the minutes roll over and the cost ticks with them.
# macOS / Linux
brew install dspv/tap/caprock
# Windows
scoop bucket add dspv https://github.com/dspv/scoop-bucket
scoop install caprock
caprock up # opens localhost:4173; offers to set up hooks + plan-limit status lineHave Go? go install github.com/dspv/caprock/cmd/caprock@latest — the dashboard
is embedded, so it works with no Node build. No package manager? Grab a binary
from Releases.
Or let Claude Code install it — paste one prompt into a fresh Claude Code message.
It picks the right command for your machine, so there is nothing to choose. The
--yes is load-bearing: consent for the hook is refused rather than assumed
when stdin is not a terminal, which is what an agent's shell gives it, so
without the flag you would get a dashboard that never sees a session.
The wording was tested against five agents given no other context. An earlier draft was refused outright by one of them, and the two lines it objected to were both ours meaning well: "do not start or type into any claude session" (our Rule 7, which reads as do not tell the user) and "show me the error instead of trying another source" (meant to stop a lookalike package being installed, which reads as stop verifying). Both are gone. It now asks the agent to check whatever it wants and to show you the settings diff — the same scepticism, invited rather than forbidden.
Please install Caprock for me. It is an open-source local dashboard that shows
what my Claude Code sessions are doing and what they cost — Apache-2.0, runs on
my machine: https://github.com/dspv/caprock
macOS/Linux: brew install dspv/tap/caprock
Windows: scoop bucket add dspv https://github.com/dspv/scoop-bucket
scoop install caprock
Then run `caprock up --yes`. That flag lets it add its own hook to my Claude
Code settings, which is how it sees sessions live. Show me the change it makes
to ~/.claude/settings.json so I can see it myself.
Check anything you want to check first, and ask me if something does not add
up. When it is running, tell me the URL it prints and stop there.
Coming from the old Python caprock? Remove it first.
There was an earlier, unrelated Caprock on PyPI — a command-line stats tool that
read Claude Code usage from a proxy. This one is a Go binary with a dashboard and
shares nothing with it: different data, different install, same name. Remove the
old one so the two caprock commands don't shadow each other:
pipx uninstall caprock || pip uninstall -y caprock # whichever you used
rm -rf ~/.caprock # its old data
which caprock # should now print nothingThen install as above. Nothing is lost: this version reads the transcripts
Claude Code already writes, so your whole history appears on first run — no
migration, no import. (Only ~/.caprock/savings.jsonl from the old tool is
dropped; copy it elsewhere first if you want to keep those numbers.)
Run OpenCode too? It is picked up automatically and shown on the same screens — see OpenCode for what that covers and what it does not.
Top: the live pulse — one bar per minute of the last hour, per session, so the shape of a track is the shape of the work. Below: what every session is doing as it happens, and what each repo costs you. Real numbers from a real machine.
Light theme
It follows your system by default, and the toggle in the header overrides it.
caprock report prints what your captured usage comes to at Anthropic list
prices, in a form you can paste somewhere:
caprock report # a block for a post
caprock report --markdown # the same facts as a table
caprock report --json # machine-readable$9,704 of Claude Code at API list prices on a $200/month plan — 41.6× the fee.
Priced from captured tokens at Anthropic list prices — what the same work would
have cost through the API. Not a bill, not a discount received, and not money
back: without the plan I would not have run this much.
2026-07-19 → 2026-08-22 · 33 active days
paid $233.33 over that window · same usage at API list $9,704
59,578 turns · 57 sessions · 26 projects
99% cache hit · 89% of input cost cut by cache
15,701,665,082 tokens read from cache · 128,597 fresh input
The caveat is part of the output, on every shape, because the number is not a
bill and not money saved — it is what the same work would have cost through the
API, and it is quotable enough to be worth making hard to quote without that.
The multiple compares your usage against the plan fee for the window that was
measured, so the report also prints the fee it divided by, with cents, so the
division checks out on sight. The raw token counts sit under the cache
percentages: they are what those percentages are computed from, and they are the
half of the cache story a reader can picture. Set your plan in
the dashboard header first; with no plan stated, caprock report says so and
shows no multiple rather than guessing one.
It reads from the running daemon and only issues GETs. Numbers move as you work, so re-running it is the point — a figure you pasted last month is a figure about last month.
Claude Code runs in your terminal. Caprock is the window into it. One local binary. Your data never leaves your machine.
What that database holds. Everything Claude Code read and wrote: your
prompts, its replies, and the full output of every tool call. That output is
where secrets end up — an API key printed by a command, a token in a .env
file that got read. The file is 0600 and nothing sends it anywhere, but it
is inside your backups, so treat it as you would your shell history: do not
put it in a bug report, and do not hand it to anyone debugging an issue for
you. caprock down and deleting the data directory removes all of it.
Caprock also reads OpenCode sessions, on the
same screens as Claude Code. A machine that runs both has its spend split
across two tools that each see half of it; here the projects list, the history
and the cost add up over both, and OpenCode rows carry an oc mark so you can
still tell them apart.
Or see one at a time. The Now screen carries all / claude / opencode in
the middle of its header, and it applies to the whole screen — today's totals,
the live pulse, the activity feed, the projects list and the session cards all
answer the same question. It appears only on a machine that runs both.
Nothing to configure. If OpenCode is installed, Caprock finds its database and reads it — no shim, no settings file to edit, and the database is opened read-only. Sessions from before you installed Caprock are included, because OpenCode keeps its own history.
Costs come from OpenCode's own figures rather than being recalculated here, so they match what OpenCode reports. Like Caprock's own numbers, they are modelled from list prices, not a bill.
What is not there yet. Observation only: the dashboard cannot start, steer or stop an OpenCode session, and the task runner does not work with it. Activity refreshes every few seconds rather than instantly, so the Now screen lags a little behind a running session — the Cost and Lifetime screens are unaffected. Verified on macOS; it builds and its tests pass on Linux and Windows, but it has not been run on either.
- See it — live activity, tokens, cost, and loop alerts per session, plus what each repository costs you and who is working in it.
- Find what Claude said — the reasoning and the "here's what changed, here's what I still need from you" that otherwise lives only in terminal scrollback, searchable across every session.
- See what it went on — not just which model or which repository, but what the money was doing: running commands, writing code, reading and searching, or turns that called no tool at all.
- Know what it's worth — your measured usage priced at the API rate, against what your plan actually costs.
- Steer it — spawn, pause, and kill sessions from the dashboard.
- Trust it — an opt-in task runner whose tasks finish only when the checks Caprock runs come back green.
- Local-first — loopback only, no servers, no telemetry, no account. The one thing that can reach the network is an optional check for new releases, off until you turn it on.
What your usage is actually worth — the same work priced at the API rate, against what your plan costs. Nobody else tells you this number:
And everything you have ever run through it — measured, not estimated:
- Observe — watches every
claudesession via hooks + transcripts, and draws the last hour as a pulse: bar height is how much happened that minute, colour is what it cost. - Control — run and drive sessions from the browser. When a session is waiting on you, what did it ask? shows the last thing Claude said without a trip to the terminal.
- Orchestrate — run queued tasks unattended, with a test gate; a task is done only when green. Opt-in, off by default — see below.
Nothing to change in your workflow — it starts by watching the sessions you already run.
This is the one part of Caprock that starts sessions on its own, so it is off unless you ask for it. Turn it on from the Tasks screen — the button creates the queue directory and starts the board without restarting the daemon. The honest description is an unattended task runner with a test gate: the closest thing you already know is a git worktree plus a shell loop. What it adds is that a worker cannot stop early, a failing check bounces back with its output attached, spend is attributed per task against a budget, and there is a board showing where everything is.
caprock up --hive ~/caprock-tasks --repo ~/dev/myproject--hive is a queue directory; Caprock creates it, and seeds it with a README
and an example task so it explains itself. --repo is the checkout the work
happens in (default: the current directory). Your own working tree is never
touched — each worker gets its own git worktree at
<repo>/.caprock-worktrees/<worker-id>, on a branch named
caprock/<worker-id>.
~/caprock-tasks/
├── README.md # what this directory is
├── tasks/<id>.md # one file per task — the source of truth
├── agents/<id>/ # identity, memory, inbox/, outbox/
├── approvals/ # decisions waiting on you
├── verifications/ # captured output of every check that ran
└── ledger.jsonl # append-only log of every state change
A task is a markdown file with YAML front matter. This is a complete one:
---
id: t-healthz
title: Add a /healthz endpoint
status: inbox
assignee: null
budget_usd: 3
done_criteria:
- go test ./...
- go vet ./...
verify_rounds_used: 0
---
Add a GET /healthz returning 200 and {"status":"ok"}. Cover it with a test in
the existing handler test file.Create one from the dashboard's Tasks screen, or from a terminal:
caprock task create --title "Add a /healthz endpoint" \
--done-criteria "go test ./..." --done-criteria "go vet ./..." --budget 3
caprock tasks # the board
caprock status # includes which hive is in forceThen press Start orchestrator on the Tasks screen. Nothing runs until you do.
Plain shell commands. When a worker reports it has finished, Caprock runs
them — not the agent — in that worker's worktree, with a five-minute ceiling
each. Every command exits 0 and the task moves to done. Any command fails and
the output bounces straight back to the worker to try again; after three rounds
it stops and asks you. A task with no done_criteria cannot be verified, so it
is never marked done on a worker's say-so.
They run in a real checkout of your repository, so treat them as commands you
are running yourself: go build ./... will leave a binary behind exactly as it
would in your own tree.
- Workers run with permission prompts skipped (
--dangerously-skip-permissions), in a worktree of your repo. A task body is acted on without a further confirmation from you. Give each task a budget. - Only for independent tasks. Nothing here merges branches, and nothing notices two workers editing the same file. Give concurrent tasks separate ground.
- You land the work. When a task is done, open its card: it shows the diff, the checks that passed, the branch, and the git command that merges it. Caprock never writes to your branches itself.
Found a bug, or something that did not explain itself? The feedback button in the header opens a prefilled GitHub issue in your browser — nothing is sent from the dashboard, and what gets attached is on screen before you press it.
Everything above is free, Apache-2.0, and stays that way — including the cost of every provider Caprock can see, Anthropic or not.
Premium adds the things that act on what you are looking at: a daily cap that pauses the sessions Caprock started when the day passes a number you set, and a weekly report of where the money went, sent to your own Telegram bot or webhook. Neither is built yet, and the pages that sell them say so.
$5/month, $30/year, or $100 once — caprock.dev/premium.
A key arrives by email and goes in the dashboard's settings, or:
caprock license set CR-2027-01-01-A1B2C3D4
caprock license # what is in forceThe key carries its own expiry and is checked on your machine. Caprock makes no request to us to verify it, now or ever — there is nothing to verify against. Paid features keep working for seven days after a key expires, so a late renewal does not interrupt you.
Use the command that matches how you installed it:
brew update && brew upgrade caprock # Homebrew
scoop update caprock # Scoop
go install github.com/dspv/caprock/cmd/caprock@latest # go installbrew update first is not decoration: a tap is read from a local git clone
that brew upgrade refreshes only through auto-update, which runs at most once
a day. Without it, Homebrew can report already installed for a release that
has been public for hours.
Then restart the daemon so the new binary is the one running:
caprock down && caprock upcaprock down stops the daemon and leaves your database alone — nothing is
lost, and history from before the upgrade stays exactly where it was. Check
what you ended up on with caprock status.
Caprock can also tell you when a release is out: turn on release checks from the banner on the Now screen, or on the status page. That is the only outbound call it makes, it is off until you switch it on, and it sends nothing about you. It never installs anything by itself — it shows the one command above for your install method, and you run it.
Downloaded the binary directly? Replace it with a fresh one from Releases and restart.
By default the daemon stops when you reboot, and nothing records until you run
caprock up again. One command fixes that for good:
caprock service install # start at login, from now on
caprock service status # is it registered? is it running? which file says so?
caprock service uninstall # undo itIt registers the daemon with your own operating system's login supervisor — no root, no installer, nothing outside your home directory:
- macOS — a LaunchAgent at
~/Library/LaunchAgents/dev.caprock.daemon.plist, loaded withlaunchctl. It restarts the daemon if it crashes. - Linux — a systemd user unit at
~/.config/systemd/user/caprock.service, enabled withsystemctl --user enable --now. It restarts the daemon if it crashes. (No systemd user session? The command says so and tells you what to do instead — it does not leave a file behind that nothing reads.) - Windows — a logon script in your Startup folder. It starts Caprock at every logon; Windows has no per-user crash supervisor without admin rights, so a mid-session crash is not auto-restarted.
The installed service runs caprock up --foreground --no-open --no-hooks on
your configured port, with your data directory. Three deliberate choices there:
it stays in the foreground so the supervisor can actually supervise it, it never
opens a browser tab at login, and it never edits ~/.claude/settings.json —
hook and status-line registration stays a decision you make interactively.
caprock service install prints the exact path it wrote and the command that
undoes it, and running it twice is a no-op rather than a second copy. Stopping
the daemon with caprock down keeps it stopped: the service is configured to
restart it only when it crashes, never when you shut it down on purpose.
- ⭐ Star it if it's useful — it helps others find it.
- 🐛 Hit a bug? Open an issue.
- 🤝 Contribute — see CONTRIBUTING.md.
A team version (shared dashboards, multi-user orchestration) is on the roadmap. Star to follow along.
Docs · Changelog · Releasing · Code of Conduct · Security · Apache-2.0
Building with an AI agent? Start at CLAUDE.md.
This repo (dspv/caprock) is the home of the
Caprock binary and its docs. The rest of the project:
| Where | What |
|---|---|
| caprock.dev | Website — landing, install guide, changelog |
| dspv/homebrew-tap | Homebrew formula (macOS / Linux) — brew install dspv/tap/caprock |
| dspv/scoop-bucket | Scoop bucket (Windows) — scoop install caprock |
| Releases | Prebuilt binaries for every OS/arch |
The Homebrew formula and Scoop manifest are generated and pushed from here on each release (docs/RELEASING.md); the website lives in its own repo and deploys to caprock.dev.