lightseekorg

    lightseekorg/tokenspeed

    TokenSpeed is a speed-of-light LLM inference engine.

    llm
    b200
    b300
    blackwell
    deepseek
    gb200
    Python
    MIT
    2.8K stars
    387 forks
    2.8K GitHub watchers
    Updated Oct 29, 2026
    View on GitHub

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    Where it stands

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

    1 release in the last 90 days, the latest 23 days ago, with 105 contributors on GitHub.

    Peaked at #34 in the weekly ranking the week of Oct 11, its best in the past year.

    Use Cases & Benefits

    • Delivers a high-performance LLM inference engine optimized for agentic workloads with speed-of-light execution.
    • Offers TensorRT-LLM-level speed combined with vLLM-level usability, enabling efficient and scalable inference without manual parallelism coding.
    • Use for deploying large language models in production environments requiring ultra-low latency and high throughput.
    • Use for research and development of agentic AI systems that demand fine-grained control over request lifecycle and resource management.
    • Use for integrating cutting-edge kernel optimizations and multi-head latent attention on GPU platforms like NVIDIA and AMD for advanced model inference.

    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
    • Contributing guide: 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

    TokenSpeed is a speed-of-light LLM inference engine designed for agentic workloads, with TensorRT-LLM-level performance and vLLM-level usability. Our goal is to be the most performant inference engine for production agentic workloads.

    For technical blogs, conference talks, and engineering articles from LightSeek Foundation, visit the LightSeek Blog.

    Excerpt from the lightseekorg/tokenspeed 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

    Oct 16: +232Oct 17: +182Oct 18: +21Oct 19: +9Oct 20: +14Oct 23: +15Oct 24: +17Oct 25: +5Oct 26: +3Oct 27: +22Oct 28: +11Oct 29: +5Oct 30: +4

    +981 stars over 80 days across 19 snapshot days; best day +232 on Oct 16.

    Forks

    387+156

    Open issues

    114+63

    Compared with peers in LLM

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

    lightseekorg/tokenspeed compared with LLM repositories by stars, 7-day star growth, health score and last release
    RepositoryStars+7dHealthLast release
    thedotmack/claude-mem113.6K+8.8K35today
    NVIDIA/auto-ontology7.5K+5.6K37—
    HKUDS/DeepTutor55.5K+5.5K655 days ago
    affaan-m/ECC297.9K+5.2K6335 days ago
    DietrichGebert/ponytail185.3K+5.1K607 days ago
    lightseekorg/tokenspeed2.8K—6423 days ago
    Category median113.6K+5.5K60—

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