Skip to main content

Experience local Artificial General Intelligence.

Project description

Local AGI (Artificial General Intelligence)

Welcome to the Local AGI package! This is a fun project that simulates an Artificial General Intelligence (AGI) running locally on your machine.

What is AGI?

AGI is a type of artificial intelligence that has the ability to understand, learn, adapt, and implement knowledge in a wide range of tasks, much like a human being. It's the holy grail of AI research, aiming to create a machine with the ability to perform any intellectual task that a human being can do.

Running localagi

Import the package through pip install localagi, and run it directly from the terminal by typing localagi:

    pip install localagi

    localagi

Enjoy your journey with Local AGI!

Running through the terminal is the intended way to use Local AGI, but you can also use the Python API as such:

    import localagi

    localagi.load()

    question = "What is the meaning of life?"
    response = localagi.prompt(question)

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

localagi-1.1.0.tar.gz (7.2 kB view details)

Uploaded Source

Built Distribution

localagi-1.1.0-py3-none-any.whl (7.8 kB view details)

Uploaded Python 3

File details

Details for the file localagi-1.1.0.tar.gz.

File metadata

  • Download URL: localagi-1.1.0.tar.gz
  • Upload date:
  • Size: 7.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.13

File hashes

Hashes for localagi-1.1.0.tar.gz
Algorithm Hash digest
SHA256 81ff6785514dc4f4bd0b597eb11cd372633aaf38d1a8cb4937956c5f73275b20
MD5 c79b62a9657c67516414177c2797a26b
BLAKE2b-256 57ea6b075384067a11000c53a6d8dad6e49510d32264279549714c3c3684fc00

See more details on using hashes here.

File details

Details for the file localagi-1.1.0-py3-none-any.whl.

File metadata

  • Download URL: localagi-1.1.0-py3-none-any.whl
  • Upload date:
  • Size: 7.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.13

File hashes

Hashes for localagi-1.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 82143fee3d236eea7c8b7216ddc0edb041d317565a99cd6d745c79fe1efa39ba
MD5 bab16225cbe1dfdad1710060e52d62d8
BLAKE2b-256 72693ef6b2841ffdb022c01f69c875ac59588b54d1bbec61fad6420d18530592

See more details on using hashes here.

Supported by

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