Meta Prompt
Transforms a standard Language Model into a dynamic, multi-agent system by simulating Conductor and Expert roles.
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Meta Prompt is an implementation of the Meta-Prompting technique, designed to enable a single Language Model (LM) to act as a sophisticated multi-agent system. It allows the LM to adopt two distinct roles: a 'Conductor' that breaks down complex problems into subtasks, and various 'Experts' (e.g., Python Programmer, Code Reviewer) that execute these subtasks. This sophisticated system prompt-guided workflow simulates a collaborative team of AI specialists within one LM, enhancing its ability to reason, act, and self-critique for more robust and accurate solutions. It aims to provide a powerful, automated AI team experience with simpler setup.
Características Principales
- Activates complex workflows via a single entry point (`meta_model_prompt`)
- Simulates a multi-agent system within a single LLM
- 4 GitHub stars
- Streamlined process compared to original paper (single LLM call for expert output)
- Configurable with MCP clients like Cursor and Claude Desktop
- Establishes 'Conductor' and 'Expert' roles for dynamic task management
Casos de Uso
- Automating multi-agent collaborative workflows for problem-solving
- Enhancing Language Model performance on complex, multi-step problems
- Improving the quality and accuracy of LLM-generated solutions through self-critique
