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Comprehensive инструмент веб-поиска Tools for Every Need

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инструмент веб-поиска

  • Symbol-LLM

    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

  • AI-Agents by GURPREETKAURJETHRA

    Open-source Python framework enabling creation of custom AI Agents integrating web search, memory, and tools.
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    What is AI-Agents by GURPREETKAURJETHRA?
    AI-Agents offers a modular architecture for defining AI-driven agents using Python and OpenAI models. It incorporates pluggable tools—including web search, calculators, Wikipedia lookup, and custom functions—allowing agents to perform complex, multi-step reasoning. Built-in memory components enable context retention across sessions. Developers can clone the repository, configure API keys, and extend or swap tools quickly. With clear examples and documentation, AI-Agents streamlines the workflow from concept to deployment of tailored conversational or task-focused AI solutions.
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