OrKaCore

OrKa offers a declarative approach to orchestrating computational agents, allowing users to define complex processing chains through expressive YAML configurations. Key features include: * YAML-first configuration for defining processing flows * Support for running conversational models on local hardware * Integrated memory management with semantic search and automatic cleanup * Advanced logical branching, parallel execution, and looping within configurations This tool simplifies the construction of sophisticated processing pipelines, providing a clear and concise way to manage multiple interacting components without extensive programming. It enables users to chain various agents, from information retrieval to content synthesis, all described in human-readable YAML files. The focus on local model compatibility ensures data privacy and low-latency operations, making it suitable for sensitive applications or environments with network constraints. Designed for developers, researchers, and technical users who require robust control over their processing environments and quick deployment of complex computational tasks. OrKa supports applications such as Q&A systems with dynamic memory, local conversational interfaces, research data processing, and content creation pipelines, offering full data sovereignty and detailed cost visibility per operation.