Metadata-Version: 2.4
Name: beadle
Version: 0.1.0
Summary: Build an AI employee without building an agent platform — deterministic checks, one-shot judgment, and a gate that keeps the model out of the loop on quiet days.
Project-URL: Homepage, https://github.com/agentropicai/beadle
Project-URL: Source, https://github.com/agentropicai/beadle
Author: Agentropic
License: MIT License
        
        Copyright (c) 2026 Agentropic
        
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License-File: LICENSE
Keywords: agents,ai,automation,claude,cron,llm,monitoring
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: System :: Monitoring
Classifier: Topic :: Utilities
Requires-Python: >=3.9
Description-Content-Type: text/markdown

# Beadle

**Build an AI employee without building an agent platform.**

Most of any job is *noticing*, not thinking — scanning, comparing against a baseline, concluding
nothing changed. Noticing is constant and answerable in SQL. Judgment is rare, expensive, and the
only part a model is good at. Most agent systems fuse the two and pay judgment prices for
noticing. Beadle keeps them apart.

```
pip install beadle
beadle init my-employees
cd my-employees
./beadle doctor
./beadle run example-site-watch uptime-check
```

Every task is the same five steps:

```
GATHER   deterministic — SQL, an API call, a shell command. No model.
GATE     plain Python. Did anything happen? If not, stop here — silently.
JUDGE    one model call. Tools disabled, max-turns 1.
DELIVER  gated. Silence is the correct output most days.
RECORD   journal, archive.
```

There is no agent loop. On the production fleet this was extracted from — 21 live tasks —
10 never call a model at all, 18 can exit before the model is invoked, and the busiest task runs
144 times a day for zero tokens.

Beadle is a workspace you own and edit, not a library you import. `beadle init` fetches it and
gets out of the way. Full docs, four working example employees, and a complete worked build
(including the bug hit along the way) are in the workspace itself.

MIT · https://github.com/agentropicai/beadle
