Kinetic Object Stream
A Swarm Intelligence
framework for creating distributed data pipelines and
autonomic neural
networks.
It's a framework based on data-centric
reactive programming
paradigm that dynamically responds to objects in motion through a
pipeline of computational actors that can execute concurrently.
Conduct data science
experiments, create neural networks, and
embrace KOS.
Overview
The KOS framework enables
dataflow transactions to be
expressed as a set of discrete atomic reaction(s) that
automatically executes based on one or more desired input(s) it
observes from its incoming flow of data stimuli.
Using KOS, you can create a new
Persona instance with one or more
Reaction functions and
feed/pipe a stream of Pulse
into the Persona.
One of the most important concept in KOS is that these reactive
functions are never explicitly called by other functions as part
of a control flow logic. Instead, the reactive functions are invoked
automatically by the KOS framework when its input states are
eventually satisfied by one or more observed flow of data
stimuli. Its operating behavior is very similar to how a
runtime garbage collector
works tirelessly behind the scenes in a given software instance. You
don't need to explicitly tell the garbage collector to clean-up, it
simply reacts autonomously based on its environmental observations.
When you embrace KOS you are embracing chaos
itself by giving up your programmatic execution flow control
logic. Instead of honing your incantation skills and declaring the
chain of commands for fulfilling your desires, you've now become an
alchemist, continually experimenting with
chain reactions and tinkering with
stimuli you inject into the system until you get your desired
result.
Once you learn how to express and leverage the power of
chain reactions, you can create
neural networks that evolve based on its
operating environment.
NOTE: this documentation is out-of-date and will be updated shortly.
Reference Guides
Since KOS encapsulates a number of fundamentally different
paradigms for expressing software itself, it is highly advised
that first-time users carefully read all of the included
documentation below:
The developer's guide to creating new reactors and understanding
the KOS library APIs will be coming soon! In the meantime, taking
a look at the available reactors bundled with
the KOS framework should provide some indirect guidance.
Installation
$ npm install @teamteanpm2024/tempora-consequatur-commodi
For development and running through examples, you can grab the source
repo from:
$ git clone https://github.com/teamteanpm2024/tempora-consequatur-commodi
Available Modules
The following Reactor modules are included
inside the KOS repository (see /reactor):
name | description |
---|
console | reactions to user prompt interactions |
hive | reactions to p2p hive communications |
http | reactions to http client/server transactions |
link | reactions to dynamic client/server flows |
log | reactions to send logging messages to an output stream |
mqtt | reactions to mqtt client/server transactions |
net | reactions to tcp/udp client/server transactions |
node | reactions to Node.js runtime context |
npm | reactions to NPM package management requests |
react | reactions to React.js component lifecycle |
render | reactions to visually render reactors |
rest | reactions to RESTful transactions |
snmp | reactions to snmp client/server transactions |
ws | reactions to websockets client/server flows |
License
Apache 2.0
This software is brought to you by
Corenova Technologies. We'd love to hear
your feedback. Please feel free to reach me at peter@corenova.com
anytime with questions, suggestions, etc.