MCP Agent is optimized using the ReWOO pattern, enabling even LLMs with fewer parameters to efficiently utilize MCP Server with minimal token
MCP Agent is optimized using the ReWOO pattern, enabling even LLMs with fewer parameters to efficiently utilize MCP Server with minimal token consumption.
This project implements a LangGraph agent based on the ReWOO (Reasoning WithOut Observation) pattern. Similar to the ReAct (Reasoning and Acting) pattern, it reasons and acts, but aims to reduce the amount and complexity of prompts, especially when using Small LLMs (SLMs), by pre-defining the necessary evidence during the planning phase instead of explicitly separating an Observation step.
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Protect your AI agents and IDEs from malicious open-source packages.