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  • An extensible Python framework for building LLM-based AI agents with symbolic memory, planning and tool integration.
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    What is Symbol-LLM?
    Symbol-LLM offers a modular architecture for constructing AI agents powered by large language models augmented with symbolic memory stores. It features a planner module to break down complex tasks, an executor to invoke tools, and a memory system to maintain context across interactions. With built-in toolkits like web search, calculator and code runner, plus simple APIs for custom tool integration, Symbol-LLM enables developers and researchers to rapidly prototype and deploy sophisticated LLM-based assistants for various domains including research, customer support, and workflow automation.
    Symbol-LLM Core Features
    • Planner module for multi-step task decomposition
    • Executor for invoking built-in and custom tools
    • Symbolic memory management for long-term context
    • Prebuilt tools: web search, calculator, code execution
    • API for integrating custom tools and services
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