SylphAI-Inc

    SylphAI-Inc/AdalFlow

    AdalFlow: The library to build & auto-optimize LLM applications.

    ai-agents
    ai
    llm
    machine-learning
    nlp
    agent
    auto-prompting
    bm25
    chatbot
    faiss
    Python
    MIT
    4.2K stars
    388 forks
    4.2K GitHub watchers
    Updated Oct 28, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    No releases in the last 90 days; the most recent was 398 days ago, with 37 contributors on GitHub.

    Gained 50% fewer stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Build and auto-optimize large language model workflows including chatbots, retrieval-augmented generation, and autonomous agents using a PyTorch-like framework.
    • Provides a unified, model-agnostic, and auto-differentiative pipeline enabling zero-shot and few-shot prompt optimization with high accuracy and easy model switching.
    • Use for developing customizable AI agents that integrate multiple tools and asynchronous workflows with real-time streaming outputs.
    • Use for creating retrieval-augmented generation (RAG) systems combining information retrieval and LLMs with automatic prompt tuning.
    • Use for training and debugging LLM pipelines with built-in tracing, human-in-the-loop support, and textual gradient descent optimization.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    Set your OPENAI_API_KEY environment variable to run these examples.

    Try the full Agent tutorial in Colab:

    View Quickstart: Learn How AdalFlow optimizes LM workflows end-to-end in 15 mins.

    Go to Documentation for tracing, human-in-the-loop, and more.

    We work closely with the VITA Group at University of Texas at Austin, under the leadership of Dr. Atlas Wang, who provides valuable support in driving project initiatives.

    For collaboration, contact Li Yin.

    Excerpt from the SylphAI-Inc/AdalFlow README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    388+5

    Open issues

    73+5

    Compared with peers in AI Agents

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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