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Comprehensive LangChain support Tools for Every Need

Get access to LangChain support solutions that address multiple requirements. One-stop resources for streamlined workflows.

LangChain support

  • NanoBrowser

    Open-source Chrome extension enabling natural-language-driven web automation tasks using multi-agent workflows and customizable LLM integrations.
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    What is NanoBrowser?
    NanoBrowser runs directly in your browser as a Chrome extension, enabling you to automate repetitive or complex web tasks via natural-language prompts. You configure it with your own LLM API key—OpenAI GPT, self-hosted LLaMA models, or others—and define workflows composed of multiple agents. It supports data scraping, form interactions, automated research, and workflow chaining through LangChain integration. You can orchestrate agents to collaborate on subtasks, export results in CSV or JSON, and debug or refine steps interactively. As an open-source alternative to proprietary operators, NanoBrowser prioritizes privacy, extensibility, and ease of use.

  • AgentUniverse

    An open-source SDK enabling developers to build, orchestrate and deploy autonomous AI agents with custom tools integration.
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    What is AgentUniverse?
    AgentUniverse provides a unified Python SDK to design, orchestrate, and run autonomous AI agents. Developers can define agent behaviors, integrate external tools or APIs, maintain conversational memory, and sequence multi-step tasks. Supporting LangChain, custom tool plugins, and configurable runtime environments, it accelerates agent development and deployment. Built-in monitoring and logging enable real-time insights, while its modular architecture allows easy extension with new capabilities or AI models.

  • AI-Agent

    AI-Agent is a Python-based autonomous assistant leveraging OpenAI and LangChain to perform web searches, code execution, and task automation.
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    What is AI-Agent?
    AI-Agent is an extensible Python framework designed to create autonomous agents powered by OpenAI's GPT models and LangChain. It includes modules for web searching, Wikipedia lookup, calculator functions, and custom tool integrations, enabling automated research, data analysis, and script execution. Users can configure agents to plan multi-step tasks, interact with APIs, generate reports, and perform complex workflows without manual intervention, streamlining productivity across development, data science, and business processes.

  • AI Recruitment Agent

    Automates candidate sourcing, resume screening, interview scheduling, and engagement via AI.
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    What is AI Recruitment Agent?
    AI Recruitment Agent is a Python-based AI Agent that integrates with recruitment workflows to automate candidate sourcing from job boards or databases, screen resumes against job requirements, schedule interviews with candidates, and manage candidate communication. Built on OpenAI API and LangChain, it can be configured via prompts and supports customization of hiring criteria, saving recruiters hours of repetitive tasks while improving efficiency and consistency in recruitment processes.
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