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Qredence solutions seamlessly integrates into your existing workflows, bringing together specialized AI agents that collaborate to solve complex problems, automate tedious tasks, and provide invaluable insights. Whether you're a small startup or a large enterprise, Qredence adapts to your unique needs, scaling effortlessly as your business grows.

Human-AI Experience Focus: User-friendly interface fully transparent requiring no prior expertise, making advanced AI accessible to all users. Improved AI Performance: Enables more human-like, multi-step workflows involving planning, execution, and revision, leading to measurable performance improvements. Enhanced Problem-Solving Capabilities: Utilizes iterative and reflective processes to solve complex problems effectively across various industries. Increased Productivity with Multi-Agent Systems: Leverages the efficiency of multi-agent systems over traditional models, enhancing processing speed and collaborative problem-solving. Seamless Integration with Existing Workflows: Integrates easily with existing organizational tools and workflows, minimizing the need for users to adapt to new ways of working.

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  1. GraphFleet GraphFleet Public

    An open-source integration of GraphRAG for Agentic System with NoCode

    Jupyter Notebook 10 3

  2. Agentic-UI Agentic-UI Public

    Human-AI Interaction Design • Optimizes collaboration between humans and AI

    TypeScript 2 1

  3. AgenticFrontier AgenticFrontier Public

    Experimenting with new agent frameworks and hosting cutting-edge research papers, all open-source.

    2

  4. AgenticFabric AgenticFabric Public

  5. FriendlyDebate FriendlyDebate Public

    A small very simple tool for helping friends debate with a timer, speaker, participant turns

    TypeScript 1 1

Repositories

Showing 10 of 10 repositories
  • GraphFleet Public

    An open-source integration of GraphRAG for Agentic System with NoCode

    Qredence/GraphFleet’s past year of commit activity
    Jupyter Notebook 10 Apache-2.0 3 0 0 Updated Dec 25, 2024
  • Agentic-UI Public

    Human-AI Interaction Design • Optimizes collaboration between humans and AI

    Qredence/Agentic-UI’s past year of commit activity
    TypeScript 2 MIT 1 0 0 Updated Dec 23, 2024
  • .github Public
    Qredence/.github’s past year of commit activity
    0 MIT 0 0 0 Updated Dec 22, 2024
  • AgenticFrontier Public

    Experimenting with new agent frameworks and hosting cutting-edge research papers, all open-source.

    Qredence/AgenticFrontier’s past year of commit activity
    2 MIT 0 0 0 Updated Dec 18, 2024
  • FriendlyDebate Public

    A small very simple tool for helping friends debate with a timer, speaker, participant turns

    Qredence/FriendlyDebate’s past year of commit activity
    TypeScript 1 MIT 1 0 0 Updated Dec 1, 2024
  • ml-agents Public Forked from Unity-Technologies/ml-agents

    The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

    Qredence/ml-agents’s past year of commit activity
    C# 0 4,233 0 0 Updated Sep 30, 2024
  • documentation Public

    Documentation for Qredence AI Intelligent solutions

    Qredence/documentation’s past year of commit activity
    MDX 0 0 0 0 Updated Sep 26, 2024
  • AgenticFabric Public
    Qredence/AgenticFabric’s past year of commit activity
    0 Apache-2.0 0 0 0 Updated Mar 31, 2024
  • Trueblock Public archive

    Our project enhances Trulens analytics through two key initiatives: developing an interactive visual node for integration in Jupyter notebooks, and creating a comprehensive RAG framework for Trulens documentation. These efforts aim to simplify and enrich the user experience with Trulens, making advanced data analysis more accessible and intuitive.

    Qredence/Trueblock’s past year of commit activity
    JavaScript 1 MIT 0 0 0 Updated Dec 26, 2023
  • visualblocks Public archive Forked from google/visualblocks

    Visual Blocks for ML is a Google visual programming framework that lets you create ML pipelines in a no-code graph editor. You – and your users – can quickly prototype workflows by connecting drag-and-drop ML components, including models, user inputs, processors, and visualizations.

    Qredence/visualblocks’s past year of commit activity
    Python 0 Apache-2.0 161 0 0 Updated Dec 22, 2023

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