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LM Studio Toolpack
Extends local LLMs with capabilities like web search, code execution, and persistent memory.
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This toolpack provides a versatile set of Model Context Protocol (MCP) tools specifically designed to enhance local Large Language Models. It enables LLMs to perform dynamic web searches using DuckDuckGo, execute Python code within a secure sandbox with access to mathematical libraries like NumPy and SymPy, and maintain long-term memory for more consistent and context-aware interactions. This collection empowers local LLMs with advanced agentic capabilities, making them more capable and useful for a variety of tasks.
Developer Tools
Productivity & Workflow
Data Science & ML
