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reproducibility

  • A repository of code recipes enabling developers to build autonomous AI agents with tool integration, memory, and task orchestration.
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    What is Practical AI Agents?
    Practical AI Agents provides developers with a comprehensive framework and ready-to-use examples to construct autonomous agents powered by large language models. It demonstrates how to integrate API tools (e.g., web browsers, databases, custom functions), implement RAG-style memory, manage conversation context, and perform dynamic planning. You can adapt examples for chatbots, data analysis assistants, task automation scripts, or research tools. The repository includes notebooks, Dockerfiles, and configuration files to streamline setup and deployment across environments.
    Practical AI Agents Core Features
    • Pre-built agent templates (QA, browser, code execution)
    • Modular memory layers (in-memory, vector store, RAG)
    • Tool integration for APIs, web browsing, databases
    • Dynamic planning and multi-step workflows
    • Notebook and Docker support for reproducibility
  • Custom image analysis workflows for better productivity and reproducibility.
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    What is apeer.com?
    APEER offers customized image analysis workflows designed to improve your throughput and reproducibility. Their platform enables microscopists to solve image analysis challenges through end-to-end automation. By leveraging advanced tools like machine learning and semantic segmentation, APEER ensures precise data extraction for various research needs. The platform is ideal for researchers looking for reliable, automated solutions to handle complex image data, thereby freeing up time to focus more on critical research activities.
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