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Comprehensive automatisation de la recherche web Tools for Every Need

Get access to automatisation de la recherche web solutions that address multiple requirements. One-stop resources for streamlined workflows.

automatisation de la recherche web

  • Linguistic Agent System

    A Python framework for building modular AI agents with memory, planning, and tool integration.
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    What is Linguistic Agent System?
    Linguistic Agent System is an open-source Python framework designed for constructing intelligent agents that leverage language models to plan and execute tasks. It includes components for memory management, tool registry, planner, and executor, allowing agents to maintain context, call external APIs, perform web searches, and automate workflows. Configurable via YAML, it supports multiple LLM providers, enabling rapid prototyping of chatbots, content summarizers, and autonomous assistants. Developers can extend functionality by creating custom tools and memory backends, deploying agents locally or on servers.
    Linguistic Agent System Core Features
    • Modular agent architecture
    • Multiple LLM provider integration
    • Configurable memory management
    • Planning and execution pipeline
    • Tool registry and invocation
    • YAML-based configuration
    • Command-line interface

  • Deep Research AI Agent

    An AI agent that automates web search, document retrieval, and advanced summarization for in-depth research reports.
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    What is Deep Research AI Agent?
    Deep Research AI Agent is an open-source Python framework designed for conducting comprehensive research tasks. It leverages integrated web search, PDF ingestion, and NLP pipelines to discover relevant sources, parse technical documents, and extract structured insights. The agent chains requests through LangChain and OpenAI, enabling context-aware question answering, automated citation formatting, and multi-document summarization. Researchers can adjust search scopes, filter by publication date or domain, and output reports in markdown or JSON. This tool minimizes manual literature review time and ensures consistent, high-quality summaries across diverse research domains.
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