rasa_core
Basic Information
Rasa Core is an open-source machine learning framework for automating text and voice-based conversations. This archived repository contains the historical core code that was used by developers to build conversational agents and automated dialogue systems. The project has been merged into the main Rasa repository and is now read-only, so this archive primarily serves as a preserved snapshot of the earlier codebase. It is intended for developers who need to inspect or reference how the original Rasa Core implementation worked before consolidation into the central Rasa project.
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Categorization
App Details
Features
The repository provided a machine-learning-focused framework for automating conversational flows for text and voice. It offered an open-source codebase suitable for building, experimenting with, and studying conversation automation models. The archive includes the original implementation and associated files that illustrate how the core functionality was structured prior to integration with the main Rasa project. Repository signals show community interest through forks and stars, and the archive retains metadata and sources useful for legacy reference, auditing, or migration planning.
Use Cases
This archived repo is helpful as a historical and technical reference for developers, researchers, or teams working with conversational AI. It enables inspection of legacy implementations, understanding of prior design decisions, and assistance with migrating or troubleshooting older deployments that relied on Rasa Core. Because it is archived and read-only, it is not recommended for new production use; instead it points users to the active Rasa repository for current development, maintenance, and up-to-date tooling.
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