Skip to main content

Unified AI memory layer for coding assistants

Project description

The author of this package has not provided a project description

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

oghma-0.3.0.tar.gz (32.8 kB view details)

Uploaded Source

Built Distribution

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

oghma-0.3.0-py3-none-any.whl (26.8 kB view details)

Uploaded Python 3

File details

Details for the file oghma-0.3.0.tar.gz.

File metadata

  • Download URL: oghma-0.3.0.tar.gz
  • Upload date:
  • Size: 32.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.9.30 {"installer":{"name":"uv","version":"0.9.30","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for oghma-0.3.0.tar.gz
Algorithm Hash digest
SHA256 98d0fcf66fd40a77b6efdfb54ce4dd7370aed00cb21e39d54d72fdc1065302f1
MD5 351b7961aa1c0c2c7a640dbc74996302
BLAKE2b-256 8b65a40925cfbf9f272e0eb533c1ebcf9fcd24a0a57c067ec80e19c809cd4a60

See more details on using hashes here.

File details

Details for the file oghma-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: oghma-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 26.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.9.30 {"installer":{"name":"uv","version":"0.9.30","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for oghma-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4e3943912786db94f8ddbc17d933f0356073c3d1db9b51b5468b267c367fd56e
MD5 db4c6f7e5686ab060dfbbe04a40ca1a0
BLAKE2b-256 1dedbf5d54c44c497dd2862926fec0e4ecf66ee106113c7f6adcb3077c864ed3

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