Argo Hub
A multi-agent CLI on the Crowe Logic engine. Installed as crowe-argo, run as argo.
pip install crowe-argo
argo login
argo
What you get
Four agents, each on a deployment sized for what it does:
| Agent | Model | Why that one |
|---|---|---|
argo_planner |
claude-opus-5 | One high-value call per run. Small capacity, so plan with it, do not fan out on it. |
argo_coder |
gpt-5.5 | The widest tier on the account, which is what the highest-volume agent needs. |
argo_reviewer |
gpt-5.6-sol | Frontier reasoning with real headroom. Review is bursty. |
argo_researcher |
gpt-5.5 | The widest tier on the account. Research dominates a fan-out. |
argo models lists the full roster. crowelm-deepparallel is also available: a
GLM-5.2 and Kimi-K2.7-code fusion synthesized by DeepSeek-V4-Pro. It is capped
at 20 requests per minute account-wide, so treat it as a planner or specialist
route, never a bulk carrier.
Your own agents
Drop a YAML file next to the shipped ones:
name: my_agent
description: "What it does"
model: gpt-5.6-luna
tools:
- read_file
- grep_search
prompt_override: |
Your instructions.
A file whose name matches a builtin replaces that builtin, so you can retune a
shipped agent without forking anything.
Brand
The accent is derived, not chosen: tools/derive_brand.py optimises for
maximum perceptual distance from every colour the stack already uses, under
normal vision and three colour-vision deficiencies. The mark is Canopus over
the keel of Argo Navis. Sources, exports and the reasoning are in brand/;
brand/export/argo-brand-card.png is the one-page sheet. On iTerm2-class
terminals the mark renders above the wordmark and beside every answer; on the
rest, the ✦ glyph does. Send a brand and they become yours instead.
For maintainers: adding the next customer
This package is about forty lines. All behavior lives in the crowe-logic
engine it depends on, so engine fixes arrive with a version bump rather than a
port. To add a customer, copy this layout and change the profile.
The one rule that will bite you. cli.branding resolves its entire palette
into module-level constants at import time. A profile activated after that
import themes nothing and raises nothing, so the customer gets Crowe Logic's
gold under their own name and no error anywhere.
That is why __init__.py imports the engine inside main():
def main():
from cli.profile import activate
activate(ARGO) # first
from cli.crowe_logic import main as engine_main # second
return engine_main()
At module scope, merely importing the package could pull in cli.branding
first. activate() raises ProfileActivationError if the order is ever broken,
and tests/test_wheel.py pins it in a subprocess, because import state is
process-global and an in-process test would only prove something about test
ordering.
model_roster is display only. It fills the models listing and completion.
Entitlement is enforced at the gateway against the bearer token, because a
roster in an installed Python file is bypassed by editing that file. Do not grow
it into access control; it cannot be one.
Metadata
Release files for crowe-argo 0.1.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| crowe_argo-0.1.7.tar.gz | 44.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| crowe_argo-0.1.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 82.1 kB
Release files / crowe_argo-0.1.7.tar.gz
| Download URL | crowe_argo-0.1.7.tar.gz |
|---|---|
| Size | 44.1 kB |
| Tags | Source |
|
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Release files / crowe_argo-0.1.7-py3-none-any.whl
| Download URL | crowe_argo-0.1.7-py3-none-any.whl |
|---|---|
| Size | 38.1 kB |
| Tags | Python 3 |
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