pyomnibrain
Python SDK & Client for OmniBrain (ChronoCache) Embedded Local-First Temporal Semantic Knowledge Graph & Reader Engine
Installation
pip install pyomnibrain
Quickstart
from pyomnibrain import OmniBrainClient
# Connect to local OmniBrain daemon
client = OmniBrainClient(host="127.0.0.1", port=4821)
# Check daemon health
health = client.health()
print(f"Connected to OmniBrain v{health['version']}")
# Snapshot an article into offline memory
capture_result = client.capture(
url="https://example.com/rust-architecture",
title="High-Performance Rust Architectures",
content="""
<article>
<h1>High-Performance Rust Architectures</h1>
<p>Rust empowers developers to build reliable, high-throughput systems with zero-cost abstractions.</p>
</article>
"""
)
print(f"Captured: {capture_result['title']} | Compression: {capture_result['compression']['compression_ratio']}x")
# Search offline memory with hybrid fusion
results = client.search("high-performance reliable systems", limit=5, mode="hybrid")
for r in results:
print(f"[{r['match_type'].upper()}] {r['title']} (Score: {r['score']:.4f})")
print(f" Snippet: {r['snippet']}")
Metadata
Release files for pyomnibrain 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pyomnibrain-0.1.0.tar.gz | 3.3 kB | Without provenance | Details for pyomnibrain-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pyomnibrain-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for pyomnibrain-0.1.0-py3-none-any.whl |
Total release size: 6.8 kB
Release files / pyomnibrain-0.1.0.tar.gz
| Download URL | pyomnibrain-0.1.0.tar.gz |
|---|---|
| Size | 3.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
3b700bf61e1215e81518bec6d559a4c24aa492e2cb91f0fe98d4360accdb43f0
|
|
BLAKE2b-256 checksum How to use checksums |
a3f2f96a3c3f1b077f6664ccf3ae67e9ddaa5a30fb6c7d92bea9349fee48c1a6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.17
|
Release files / pyomnibrain-0.1.0-py3-none-any.whl
| Download URL | pyomnibrain-0.1.0-py3-none-any.whl |
|---|---|
| Size | 3.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
7a0e333813a7ecc636036a84cbee35a1f7297ac4d64409c71cbe1be3d48ef1b7
|
|
BLAKE2b-256 checksum How to use checksums |
e2eaaa3d4c1e429db2a4f22b246325d5b664152edfa9438982bc0a106b7b5e23
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.17
|
Security for pyomnibrain 0.1.0
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.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A 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.