No Bullshit Claw: a small daemon that puts a Swival agent n the other end of a Signal conversation.
You text it. It does the work and texts back. You can also tell it to do things on a schedule ("every weekday at 9, summarize the git log") and cancel those later.
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Python 3.13+ and uv.
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A running model. Anything Swival supports works; the quickest is to use LM Studio with a tool-calling model loaded.
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signal-cliregistered to a phone number and running as an HTTP daemon:signal-cli --account XXXXXXXXX daemon --http 127.0.0.1:3080
cd nbclaw
uv sync
uv run nbclaw \
--allow YOURPHONE \
--model ornith-1.0-9b \
--notify YOURPHONE--allow is the number that's permitted to drive the agent (your phone).
--notify is optional and just sends a "nbclaw is online" message on start.
Now message the signal-cli number from your phone:
you : list the python files in ~/src and count them
nbclaw: There are 42 .py files under ~/src. ...
By default the agent runs in autonomous mode: it can run shell commands and read or edit files anywhere the account it runs as can reach. The workspace is just where it starts, not a fence. But it means anyone on the allowlist effectively has a shell on this machine.
- Always set
--allowto the specific numbers you trust. With no allowlist set, every incoming message is ignored (fail closed). --allow-allexists for testing only. Don't use it on a machine you care about.--safemakes the agent read-only: no shell commands, no file edits. Good for a "just answer questions" bot.- In a group chat, authorization is checked against the sender, but the reply goes to the whole group. So one allowed member can make the bot post agent output to everyone in that group. Keep the allowlist to people you trust with that, or only message the bot in 1:1 chats / Note to Self.
The allowlist controls who can drive the agent. It does nothing to limit what the agent can reach once it's driven. For that, put the whole thing in a sandbox — see below.
The agent runs shell commands and edits files with the privileges of the account nbclaw runs as. The workspace is where it starts, not a fence. If you want a hard boundary — so a confused model, a bad cron, or a prompt-injected web page can't wander off and read your SSH keys or wipe a directory — run the daemon inside nono.
nono is a capability-based sandbox that enforces filesystem and network access at the kernel level: Landlock on Linux, Seatbelt on macOS. The denial happens in the kernel, not in the agent's own guards, so it holds even if the model misbehaves.
The launchd and systemd setups in Running 24/7 work the same way — just make the wrapper the program they launch. In the plist, the ProgramArguments become nono run … -- …/.venv/bin/nbclaw … instead of bare nbclaw. One wrinkle: launchd and systemd don't expand $TMPDIR, so pass a literal temp path there (the value of echo $TMPDIR).
For the full picture of nono's flags, profiles, and credential brokering, see Swival's nono guide.
Send these as Signal messages. Anything not starting with / goes to the agent.
| Command | What it does |
|---|---|
/help |
List the commands. |
/status |
Model, mode, uptime, number of crons. |
/clear |
Forget this conversation's context. |
/cron <plain English> |
Schedule a task, described naturally. |
/cron list |
Show scheduled tasks. |
/cron del <name> |
Cancel a scheduled task. |
/cron run <name> |
Run a scheduled task right now. |
Just say it after /cron in plain English. The model works out the timing and gives the task a short name:
/cron every weekday at 9am summarize my git log in ~/src/app
/cron remind me to stretch every 2 hours
/cron tomorrow at 8am say good morning
Both recurring schedules and one-time reminders ("in 10 minutes…", "tomorrow at 8am…") are understood; one-time jobs delete themselves after they fire.
Results are delivered to the conversation that created the cron, prefixed with its name. Crons run as independent one-shots, so they never pollute your chat's context.
Use /cron list to see names, then /cron del <name> to cancel.
If you'd rather be exact, the power-user form takes a literal schedule:
/cron add standup 0 9 * * 1-5 | summarize today's commits in ~/src/myrepo
where the schedule is a 5-field cron expression, @every 30m (30s/5m/2h/1d), or @hourly / @daily / @weekly / @monthly.
Flags cover the common cases. For anything else, point --config at a TOML file.
Top-level keys mirror the settings; a [swival] table is passed straight through to swival.Session, so the full agent is configurable.
# nbclaw.toml
signal_url = "http://127.0.0.1:3080"
allow = ["YOURPHONE"]
notify = "YOURPHONE"
provider = "lmstudio"
model = "ornith-1.0-9b"
# base_url = "http://127.0.0.1:1234" # only if not the provider default
max_turns = 60
state_dir = "~/.nbclaw"
# MCP servers, in swival's format.
[mcp_servers.chrome]
command = "npx"
args = ["-y", "chrome-devtools-mcp@latest", "--isolated", "--no-usage-statistics", "--no-performance-crux"]
# Anything here is forwarded verbatim to swival.Session.
[swival]
temperature = 0.2
reasoning_effort = "medium"Run it:
uv run nbclaw --config nbclaw.tomlCLI flags override the file.
The agent is meant to stay up.
On macOS, a launchd job keeps it alive across logouts and reboots. A template is in deploy/com.nbclaw.daemon.plist; edit the paths and numbers, then:
cp deploy/com.nbclaw.daemon.plist ~/Library/LaunchAgents/
launchctl load ~/Library/LaunchAgents/com.nbclaw.daemon.plistOn Linux, a user systemd unit does the same job; the plist documents the same command line.
To keep the daemon sandboxed while it runs unattended, wrap that command in nono run — see Sandboxing with nono.
Everything lives under state_dir (default ~/.nbclaw):
crons.json— scheduled tasks, written atomically.workspace/— the agent's working directory (itsbase_dir).
NBCLAW_LOGsets the log level (defaultINFO; tryDEBUG).
NBClaw uses Swival as a Python library, so the CLI isn't required. This lets it work well even with small, local models and short context windows. No large models needed.
More importantly, NBClaw is ridiculously lightweight and incredibly easy to install and use.
No bloat. It intentionally ships with a minimal set of tools, but it gets the job done. And if you need more, you can extend it with skills, MCP servers, and whatever else fits your workflow.
It may not be for you, but this is the minimal claw-style agent I always wanted.