This release is a pre-release and may not be stable for production use.
Creating Intelligence
A computational foundation for AGI, based on hyperdimensional sparse data and framed in set theory.
The mind performs computations on sparse binary data using Sparse Distributed Representations (SDRs) for perceptual information and Sparse Holographic Representations (SHRs) for symbols. The centerpiece of this project is Topological Associative Memory — a newly discovered associative memory for sparse data, serving as the computational kernel that models the brain's core algorithm.
Links
- Website: https://creatingintelligence.org
- Documentation: https://creatingintelligence.org/docs
- GitHub Repository: https://github.com/PeterOvermann/CreatingIntelligence
- Preprint: arXiv:2606.31819
Installation
pip install creating-intelligence
Optional installations
| Extra | Installs | Purpose |
|---|---|---|
viz |
pydot |
Left-to-right layouts when drawing circuit diagrams |
all |
every extra above | Everything optional in one step |
pip install "creating-intelligence[viz]"
pip install "creating-intelligence[all]"
1 maintainer
Metadata
1 maintainer
Release files for creating-intelligence 0.1.0a10
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| creating_intelligence-0.1.0a10.tar.gz | 32.7 kB | With provenance | Details for creating_intelligence-0.1.0a10.tar.gz |
Built distributions (wheels)
Total release size: 322.8 kB
Release files / creating_intelligence-0.1.0a10.tar.gz
| Download URL | creating_intelligence-0.1.0a10.tar.gz |
|---|---|
| Size | 32.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
fcadd0f85277f4518fc9484178f5619239f0d58df3aaf3e4c0a8f898a2574b8d
|
|
BLAKE2b-256 checksum How to use checksums |
b632cd279e45d93e043c1d7daba96d5d37cea026aa8ccb372bb0b858873d27d1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 31, 2026.
Transparency logRelease files / creating_intelligence-0.1.0a10-py3-none-win_amd64.whl
| Download URL | creating_intelligence-0.1.0a10-py3-none-win_amd64.whl |
|---|---|
| Size | 31.9 kB |
| Tags | Python 3 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
bd7d8f5180566a07848f2d4b98322cfb9f4cf11b933588ba2c44783d42afbbbf
|
|
BLAKE2b-256 checksum How to use checksums |
a4f2d2c9a0b13e0b6db13aed2aa6b7ecd6697035390ae90905aa7875ec2f33e3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 31, 2026.
Transparency logRelease files / creating_intelligence-0.1.0a10-py3-none-musllinux_1_2_x86_64.whl
| Download URL | creating_intelligence-0.1.0a10-py3-none-musllinux_1_2_x86_64.whl |
|---|---|
| Size | 47.9 kB |
| Tags | Linux musl 1.2+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
b65ce2079cedb020e418631888e2fd864b14d5b33efc885698bf92bc0a638a8e
|
|
BLAKE2b-256 checksum How to use checksums |
6c49fd35e21d05c24738fc31ba4fc0ea54adc97326bc6d3857df240fcf1ce540
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 31, 2026.
Transparency logRelease files / creating_intelligence-0.1.0a10-py3-none-musllinux_1_2_aarch64.whl
| Download URL | creating_intelligence-0.1.0a10-py3-none-musllinux_1_2_aarch64.whl |
|---|---|
| Size | 48.1 kB |
| Tags | Linux musl 1.2+ ARM64 Python 3 |
|
SHA-256 checksum How to use checksums |
edaa224b1741f2ed8d147578e24d908b7eab93c6c8c8f54fd5457f661791d267
|
|
BLAKE2b-256 checksum How to use checksums |
7aa7ef41779777f939a258c3e731c31369f3633213953482016eb8f56275a5db
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 31, 2026.
Transparency logRelease files / creating_intelligence-0.1.0a10-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
| Download URL | creating_intelligence-0.1.0a10-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl |
|---|---|
| Size | 48.4 kB |
| Tags | Linux glibc 2.17+ x86-64 Linux glibc 2.28+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
10130aec54b4dd18927300c5534b395f14c20fc28e20004f7952668167489c6c
|
|
BLAKE2b-256 checksum How to use checksums |
323fcb7e63f4b2ba8867da52478c6cba98226cc9a69e97a3e7807ec85b261778
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 31, 2026.
Transparency logRelease files / creating_intelligence-0.1.0a10-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl
| Download URL | creating_intelligence-0.1.0a10-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl |
|---|---|
| Size | 49.4 kB |
| Tags | Linux glibc 2.17+ ARM64 Linux glibc 2.28+ ARM64 Python 3 |
|
SHA-256 checksum How to use checksums |
3b0ed6a1e93169caf05d996c7ea0220a6ea876eb9c7babd940314d97c97f8227
|
|
BLAKE2b-256 checksum How to use checksums |
91ee218e0ea738455d3d3fc224520d953eaff88efa6e534ec71f1a29e9908189
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 31, 2026.
Transparency logRelease files / creating_intelligence-0.1.0a10-py3-none-macosx_11_0_arm64.whl
| Download URL | creating_intelligence-0.1.0a10-py3-none-macosx_11_0_arm64.whl |
|---|---|
| Size | 32.6 kB |
| Tags | Python 3 macOS 11.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
81ed25bb6bb271f6e2fa070f4ca2036c87a3b3f0b9c9040f1188dad3ec1cb0ea
|
|
BLAKE2b-256 checksum How to use checksums |
5f52e05e20156ded7772ad37515b3171ddaaf48f81f037b053d0e1fe4bd6089e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 31, 2026.
Transparency logRelease files / creating_intelligence-0.1.0a10-py3-none-macosx_10_13_x86_64.whl
| Download URL | creating_intelligence-0.1.0a10-py3-none-macosx_10_13_x86_64.whl |
|---|---|
| Size | 31.9 kB |
| Tags | Python 3 macOS 10.13+ x86-64 |
|
SHA-256 checksum How to use checksums |
3a14aadce4aeb227f862abe0a4fd2c9d097fd241adc5e572133c1a748612b484
|
|
BLAKE2b-256 checksum How to use checksums |
285a6e9133390ed14df0ac5e1403b0a609fd0d0e0f660799cd7768ea54d2da11
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 31, 2026.
Transparency logSecurity for creating-intelligence 0.1.0a10
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
All 8 files in this release have been uploaded with provenance metadata.
Attestation for creating_intelligence-0.1.0a10.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 31, 2026.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
