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@intellistream

IntelliStream

Research group focused on stream processing, AI systems, and intelligent databases.

IntelliStream Research Incubator

IntelliStream incubates early-stage systems research across intelligent applications, evolving-data infrastructure, and model execution.

Projects remain in IntelliStream while their abstraction, maintainers, documentation, tests, reproducibility, licensing, and release process are still taking shape. Mature projects graduate into the organization that owns their long-term technical boundary.

Ecosystem

IntelliStream research incubator
        | mature projects graduate
        +----------------+-------------------+
        v                v                   v
      SAGE            DataSys            vLLM-HUST
 application and      data systems       inference runtime and
 orchestration                            hardware execution
  • SAGE owns agent, RAG, workflow, evaluation, studio, tutorial, and service-orchestration systems.
  • DataSys owns framework-neutral stream, graph, vector/index, online-update, query, lifecycle, and benchmark systems.
  • vLLM-HUST owns model runtime, KV/cache scheduling, compilation, kernels, and hardware execution.

These organizations form a layered ecosystem. They do not map one-to-one to individual research directions, and IntelliStream spans all layers as an incubator rather than acting as a fourth runtime layer.

Graduated Projects

DataSys

SAGE

vLLM-HUST

Model-runtime, cache-scheduling, compiler, kernel, and hardware-execution projects graduate to vLLM-HUST after maintainer review.

Graduation Policy

A project is ready to graduate when it has:

  • a clear public abstraction and ecosystem boundary;
  • named maintainers and durable organization ownership;
  • documented setup, supported environments, and contribution path;
  • tests and a reproducible evaluation path;
  • explicit licensing and citation information where applicable;
  • a sustainable release or artifact-maintenance process.

Private, unpublished, or collaborator-sensitive repositories require confidentiality, access, secrets, package, and submission-policy review before transfer.

Official Entry Points

Contributing

Use the issue tracker and contribution guidance in the relevant project repository. For ownership or graduation questions, contact the project maintainers before moving or renaming code.

Contact

Popular repositories Loading

  1. CRUD_RAG CRUD_RAG Public

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    CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models

    Python 2 2

  2. sageTSDB sageTSDB Public

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  3. ModernCPlusProjectTemplate ModernCPlusProjectTemplate Public template

    Template for C++ project; using CMAKE to manage

    C++ 1 2

  4. Awesome-Online-Continual-Learning Awesome-Online-Continual-Learning Public

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  5. sageVDB sageVDB Public

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  6. sageData sageData Public

    Python 1

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