conversational ai: orchestration core
A high-concurrency Python framework designed for building scalable, asynchronous security bots and complex orchestration agents.
Leverages Python's AsyncIO for efficient handling of thousands of concurrent bot interactions.
Modular architecture allowing for easy integration with any messaging platform or API backend.
Built with a focus on secure API interactions and encrypted state management.
the vision: orchestration as a service
conversational ai provides the core foundation for building bots that do more than just "chat". it is designed for building agents that can orchestrate complex security tasks through simple natural language or command interfaces.
technical foundations
asynchronous core
built from the ground up to be non-blocking, ensuring that bot responsiveness remains high even under heavy orchestration load or network latency.
modular middleware
easily plug in different nlu engines, authentication layers, or logging providers to suit the specific needs of the enterprise environment.
stateful interactions
robust state management for multi-turn conversations, essential for complex incident response or system troubleshooting workflows.
rest-native adapter
first-class support for interacting with modern security apis, making it a perfect fit for building custom soar and automation logic.
project link
this project is maintained as part of an ongoing effort to improve the accessibility and scalability of security automation tools.