GStars
    microsoft

    microsoft/agent-lightning

    The absolute trainer to light up AI agents.

    ai-agents
    llm
    machine-learning
    agent
    agentic-ai
    mlops
    reinforcement-learning
    Python
    MIT
    18.9K stars
    1.7K forks
    18.9K GitHub watchers
    Updated Nov 6, 2026
    View on GitHub

    Build with Backblaze B2

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

    Explore Backblaze Labs

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    Where it stands

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

    4 releases in the last 90 days, the latest 2 days ago, with 53 contributors on GitHub.

    Peaked at #1 in the weekly ranking the week of Oct 26, its best in the past year.

    Use Cases & Benefits

    • Trains and optimizes AI agents using reinforcement learning with minimal code changes required.
    • Enables training of any AI agent framework or custom agents with selective optimization in multi-agent systems.
    • Use for enhancing AI agents built with LangChain or AutoGen to improve task performance via reinforcement learning.
    • Use for developing and optimizing multi-agent systems where selective agent training is needed.
    • Use for research and experimentation in automatic prompt optimization and reinforcement learning algorithms for AI agents.

    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
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

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

    From the README

    The absolute trainer to light up AI agents.

    Join our Discord community to connect with other users and contributors.

    Excerpt from the microsoft/agent-lightning 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

    Sep 1: +13Sep 2: +8Sep 19: +16Sep 23: +7

    +1,431 stars over 86 days across 12 snapshot days; best day +16 on Sep 19.

    Forks

    1.7K+178

    Open issues

    184+25

    Compared with peers in AI Agents

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth

    View category →
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    microsoft/agent-lightning18.9K—602 days ago
    Category median115.8K+8.4K75—
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