Browse free open source R AI Agent Frameworks and projects below. Use the toggles on the left to filter open source R AI Agent Frameworks by OS, license, language, programming language, and project status.

  • Planview is the leading end-to-end platform for Strategic Portfolio Management (SPM) and Digital Product Development (DPD) Icon
    Planview is the leading end-to-end platform for Strategic Portfolio Management (SPM) and Digital Product Development (DPD)

    Manage project and product portfolios enterprise-wide

    Planview AdaptiveWork (formerly Clarizen) with embedded AI helps you proactively plan and deliver any type and size of portfolio, project, and work. Gain AI-enhanced visibility and insights, drive collaboration, and achieve better business outcomes across your organization.
    Learn More
  • IT Asset Management (ITAM) Software Icon
    IT Asset Management (ITAM) Software

    Supercharge Your IT Assets, the Easy Way

    EZO AssetSonar is a comprehensive IT asset management platform that provides real-time visibility into your entire digital infrastructure. Track and optimize hardware, software, and license management to reduce risks, control IT spend, and improve compliance.
    Learn More
  • 1
    AI-Agent-Host

    AI-Agent-Host

    The AI Agent Host is a module-based development environment.

    The AI Agent Host integrates several advanced technologies and offers a unique combination of features for the development of language model-driven applications. The AI Agent Host is a module-based environment designed to facilitate rapid experimentation and testing. It includes a docker-compose configuration with QuestDB, Grafana, Code-Server and Nginx. The AI Agent Host provides a seamless interface for managing and querying data, visualizing results, and coding in real-time. The AI Agent Host is built specifically for LangChain, a framework dedicated to developing applications powered by language models. LangChain recognizes that the most powerful and distinctive applications go beyond simply utilizing a language model and strive to be data-aware and agentic. Being data-aware involves connecting a language model to other sources of data, enabling a comprehensive understanding and analysis of information.
    Downloads: 0 This Week
    Last Update:
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