acgs
ACGS — Constitutional AI Governance. Umbrella package for the open-core ACGS line.
Installing acgs gives you acgs-lite,
the receipt-gated AI-governance library, re-exported as acgs.lite:
import acgs
print(acgs.__version__)
acgs.lite # the acgs-lite library
What this is
- A thin meta-package: one import surface and a pinned dependency line for the open-source parts of the ACGS project.
- The underlying library provides a local receipt-gated governance kernel: policy evaluation, tamper-evident JSONL audit chains, opt-in Ed25519 signing, and integration adapter shapes for MCP / function-call / runtime hooks.
What this is not
ACGS is alpha software — a production-shaped foundation developed and tested locally. It is not compliance-certified, regulator-approved, or a claim of guaranteed safety. See the project repository for the current claim register and limitations.
Versioning and license history
- 4.0.0+ — clean umbrella over the open-core line, Apache-2.0. The legacy
bundled
coreandresearchtop-level packages from 3.x are no longer shipped. - ≤ 3.0.2 — legacy bundle (
acgs_lite,core,research), published under AGPL-3.0-or-later; those releases remain on PyPI under their original license.
Links
- Project monorepo: https://github.com/acgs-ai/ACGS
- Library: https://pypi.org/project/acgs-lite/
- Issues: https://github.com/acgs-ai/ACGS/issues
Metadata
Release files for acgs 4.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| acgs-4.0.0.tar.gz | 6.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| acgs-4.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.8 kB
Release files / acgs-4.0.0.tar.gz
| Download URL | acgs-4.0.0.tar.gz |
|---|---|
| Size | 6.0 kB |
| Tags | Source |
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Release files / acgs-4.0.0-py3-none-any.whl
| Download URL | acgs-4.0.0-py3-none-any.whl |
|---|---|
| Size | 6.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.6
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