Semantic Prompt
Provides an NLP-inspired adaptive reasoning engine for orchestrating Large Language Models.
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The Semantic Prompt Framework operates as a Model Context Protocol (MCP) server, designed to optimize Large Language Model (LLM) orchestration through NLP-inspired adaptive reasoning. It functions as a core thinking engine, enabling sophisticated prompt injection and dynamic thought processes to manage complex interactions with LLMs, particularly within frameworks like SuperClaude.
Características Principales
- 1 GitHub stars
- Advanced error recovery with detailed messages and suggestions
- Dynamic thought revision and branch reasoning capabilities
- 3-Step Structured Thinking Framework for LLM orchestration
- Customizable Prompt Injection System with multiple configuration profiles
- Document tracking to prevent duplicate reads and maintain session context
Casos de Uso
- Breaking down complex problems into manageable, sequential steps for LLMs
- Planning and design workflows that may require revision or alternative reasoning paths
- Maintaining context and filtering irrelevant information across multi-step LLM interactions
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