algenta-networking
Networking and systems kernels. Compiled Mojo, loaded in-process.
15 modules · 156 functions · CPU
Get started
pip install kernels torch
from kernels import get_kernel
kernel = get_kernel(
"thyn-ai/algenta-networking",
version=1,
backend="cpu",
trust_remote_code=["thyn-ai/algenta-networking"],
)
kernel.net.url.url_encode("hello world") # -> "hello%20world" percent-encoded
backend="cpu" selects the CPU build. On a Mac the loader otherwise looks for a Metal build, which
this family does not ship. trust_remote_code names the repositories you allow; Hugging Face's
trusted publishers load without it.
Plain Python in, plain Python out. Lists, tuples, buffers and tensors are accepted wherever the
contract expects a list; structured results are dictionaries. Some functions take a list and the
number of elements to use from it, which may not exceed the list's length; multi-dimensional data is
passed flattened, row-major, with its dimensions. Functions that update an argument do so in place,
as help() says. Every call is checked against the published contract before it reaches native
code. An invalid call raises KernelError with a stable code, never a crash.
Any function can also be called by name, with args as a list or a dict of parameter names:
kernel.execute("net.url", "query_build", [...])
What's inside
| Module | Functions | What it does |
|---|---|---|
compiler_theory |
12 | Compiler heuristics: LL(1) and LR conflict checks, AST metrics, register pressure, IPC |
epigenetics |
10 | Epigenetics: CpG methylation index, Horvath-style clock age, histone ratios, accessibility |
genetic |
8 | Genetic algorithm: tournament selection, uniform and one-point crossover, Gaussian mutation |
kinetics |
10 | Chemical kinetics: reaction rates, Arrhenius, half-lives, activation energy, Michaelis-Menten |
magnetism |
10 | Magnetism: Biot-Savart, solenoid and toroid fields, flux, inductance, cyclotron radius, Hall |
memory_system |
10 | Memory sizing: pool fragmentation, slab waste, cache-line padding, training memory, NUMA |
net.url |
7 | URL handling: parse and rebuild URLs, percent-encode and decode, parse and build query strings |
network_analysis |
11 | Graph analytics: degree, density, PageRank, closeness, clustering coefficients, BFS, components |
network_protocol |
11 | HTTP helpers: status reason phrases and classes, MIME types, content-type header, query strings |
paleomagnetism |
13 | Paleomagnetism: paleolatitude from inclination, paleointensity, reversal rate, Koenigsberger |
petri_net |
13 | Small Petri nets: transition enabling and firing, deadlock, place bounds, coverability, siphons |
pharmacokinetics |
12 | Pharmacokinetics: one-compartment IV and oral curves, half-life, clearance, dosing, AUC |
population_genetics |
10 | Population genetics: Hardy-Weinberg, drift, selection, effective size, Tajima's D, FST |
social_network |
9 | Directed networks: in/out degree, reciprocity, independent cascade, label propagation, density |
toxicokinetics |
10 | Toxicokinetics: internal dose, Cmax and Tmax, AUC, half-life, clearance, margin of exposure |
kernel.CONTRACT holds every signature, including the length rules for list arguments;
help(kernel.compiler_theory) documents each function.
Requirements
- Apple silicon: macOS 15 or later for the CPU build.
- Linux arm64 and x86-64, glibc 2.35 or later.
kernels0.17 or later and PyTorch 2.5 to 2.14. PyTorch has to be installed: the loader picks the build for your PyTorch version. The kernel itself never imports it.
Windows is not supported.
Notes
Calls into one kernel instance run one at a time; use processes for parallelism. Runtime state
does not survive fork(); start worker processes with spawn.
License
Algenta Community License 1.1 (LICENSE). Free for personal, research and open-source use, and
for internal use at organizations with fewer than 50 employees and under $5M in annual revenue.
Beyond that, a commercial license is required: https://algenta.ai/pricing.
Enforced in the compiled library, not just in this text: one concurrent native worker per device (ABI §9). A second process, family or thread waits its turn rather than running in parallel. That is the Community licence's worker floor made real; parallel execution comes with a commercial license.
Support
Generally Available on the platforms listed under Requirements. Within v1, functions are only added;
removals or signature changes ship as v2. Platforms, accelerators and PyTorch releases not listed are not
supported. Documentation: https://docs.algenta.ai (the kernels guide:
https://docs.algenta.ai/guides/kernels-on-hugging-face). Community: https://discord.gg/w8NDsph9an or this
repository's Community tab. Commercial licences and support: https://algenta.ai/pricing.
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