Skip to main content

Reserved — gopher-ai: an open substrate (wickets) for governed, auditable AI-mediated business workflows. Coming soon.

Project description

gopher-ai

Reserved — coming soon.

gopher-ai is an open substrate for governed, auditable AI-mediated business workflows: declarative outcomes, constraint-driven verification, evidence wrappers, human-in-the-loop review, and a deterministic audit/replay ledger. Runtime-agnostic — runs on OpenClaw, Claude, Hermes, or the raw SDK.

The model: declare what an outcome must look like; let a resolver clear the wickets (small gates) toward the target state. Effects are deterministic; the LLM proposes, deterministic checks dispose, humans approve the residual.

Full 0.x release coming soon. Source: https://github.com/stevenmih/gopher-ai

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gopher_ai-0.0.1.tar.gz (1.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

gopher_ai-0.0.1-py3-none-any.whl (2.1 kB view details)

Uploaded Python 3

File details

Details for the file gopher_ai-0.0.1.tar.gz.

File metadata

  • Download URL: gopher_ai-0.0.1.tar.gz
  • Upload date:
  • Size: 1.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.7

File hashes

Hashes for gopher_ai-0.0.1.tar.gz
Algorithm Hash digest
SHA256 6dc1856bb448a4d6ccffe2dcad5fef925f935db4fa310036c6a33b7d483472ba
MD5 2af8cae00c5bb8456c5fbd35799471e6
BLAKE2b-256 db9debc483da0d8ccbafee0ab254bcf0d292cb136577915e8e87c2707f52eefa

See more details on using hashes here.

File details

Details for the file gopher_ai-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: gopher_ai-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 2.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.7

File hashes

Hashes for gopher_ai-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 c07a94e0528552ca68e590b1b89600436112d461b8593e4ba9f517bde5f32959
MD5 7d060210ae1ddabb17eaddaae67dc258
BLAKE2b-256 4c90577156c0fe03e12ea8b83ad105d522dade9e446bd1709063f2c590189855

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page