arkaine
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About
arkaine is a powerful and versatile AI tooling framework developed to simplify the creation and management of intelligent agents, particularly focusing on the challenges of parsing stochastic outputs from Large Language Models (LLMs). Starting as an experimental project, it has evolved into a reliable pattern for agent construction. Key features include robust LLM output parsing, comprehensive text-to-speech (TTS) and speech-to-text (STT) tooling with support for major providers like OpenAI, Google, and Kokoro, and an integrated 'think' tool designed to enhance agent performance on complex reasoning tasks. It serves as a foundational framework, having been successfully utilized in various applications such as HiredCoach for interview practice, eli5equation for explaining mathematical equations, and reflecta for guided journal prompting. arkaine is ideal for developers looking to build sophisticated AI-driven applications with streamlined LLM interactions.
Platform
Task
Features
• text-to-speech capabilities
• speech-to-text capabilities
• research agent functionality
• framework for building ai agents
• integrated "think" tool for agent optimization
• robust llm output parsing
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