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.
主要功能
01Activates complex workflows via a single entry point (`meta_model_prompt`)
02Simulates a multi-agent system within a single LLM
034 GitHub stars
04Streamlined process compared to original paper (single LLM call for expert output)
05Configurable with MCP clients like Cursor and Claude Desktop
06Establishes 'Conductor' and 'Expert' roles for dynamic task management
使用案例
01Automating multi-agent collaborative workflows for problem-solving
02Enhancing Language Model performance on complex, multi-step problems
03Improving the quality and accuracy of LLM-generated solutions through self-critique
