osbrain

osBrain - A general-purpose multi-agent system module written in Python

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osBrain is a general-purpose multi-agent system module written in Python and developed by OpenSistemas <http://www.opensistemas.com>__. Agents run independently as system processes and communicate with each other using message passing.

osBrain uses ØMQ <https://zeromq.org/> for efficient and flexible message passing between agents. It also uses Pyro4 <https://pythonhosted.org/Pyro4/> to ease the configuration and deployment of complex systems.

Please read the osBrain documentation <https://osbrain.readthedocs.io/en/stable/>__ for a bit more detailed introduction.

osBrain is licensed under the Apache License <https://osbrain.readthedocs.io/en/stable/license.html>__.

  • Documentation <https://osbrain.readthedocs.io/en/stable/>__.
  • osBrain on Pypi <https://pypi.python.org/pypi/osbrain>__.

Installing osBrain

osBrain requires Python 3. Most probably, Python 3 is already packaged for your favorite distribution (and maybe even installed by default in your system). If you do not have Python 3 available, consider using Conda <http://conda.pydata.org/miniconda.html>__ to create a virtual environment with Python 3.

Installing osBrain is very simple with pip:

.. code-block:: bash

pip install osbrain

You should now be able to import osbrain from a python console:

.. code-block:: python

import osbrain

Code examples

If you want to learn how to use osBrain, refer to the tutorial in the documentation <https://osbrain.readthedocs.io/en/stable/>__ for a set of step-by-step simple code examples.

What can you use osBrain for?

osBrain has been successfully used to develop a real-time automated-trading platform in OpenSistemas <http://www.opensistemas.com>__, but being a general-purpose multi-agent system, it is not limited to this application. Other applications include:

  • Transportation.
  • Logistics.
  • Defense and military applications.
  • Networking.
  • Load balancing.
  • Self-healing networks.

In general, osBrain can be used whenever a multi-agent system architecture fits the application well:

  • Autonomy of the agents.
  • Local views.
  • Decentralization.

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