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Comprehensive step-by-step planning Tools for Every Need

Get access to step-by-step planning solutions that address multiple requirements. One-stop resources for streamlined workflows.

step-by-step planning

  • AutoBrowse

    A Python framework that turns large language models into autonomous web browsing agents for search, navigation, and extraction.
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    What is AutoBrowse?
    AutoBrowse is a developer library enabling LLM-driven web automation. By leveraging large language models, it plans and executes browser actions—searching, navigating, interacting, and extracting information from web pages. Using a planner-executor pattern, it breaks down high-level tasks into step-by-step actions, handling JavaScript rendering, form inputs, link traversal, and content parsing. It outputs structured data or summaries, making it ideal for research, data collection, automated testing, and competitive intelligence workflows.
    AutoBrowse Core Features
    • LLM-driven web search and navigation
    • Automated link clicking and form filling
    • JavaScript rendering and dynamic content handling
    • Content parsing and data extraction
    • Summarization of web page contents

  • Semi Agent

    A lightweight Python framework to build autonomous AI agents with memory, planning, and LLM-powered tool execution.
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    What is Semi Agent?
    Semi Agent provides a modular architecture for building AI agents that can plan, execute actions, and remember context over time. It integrates with popular language models, supports tool definitions for custom functionality, and maintains conversational or task-oriented memory. Developers can define step-by-step plans, connect external APIs or scripts as tools, and leverage built-in logging to debug and optimize agent behavior. Its open-source design and Python basis allow easy customization, extensibility, and integration into existing pipelines.
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