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lightseekorg / tokenspeed

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

Why this job: says: inference engine, llm inference

TokenSpeed vs. TensorRT-LLM Pareto curves on agentic workloads (Kimi K2.5, B200)

What it does

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

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit today
Stars
2,895
+48 this week
Licence
MIT
Allows business use
Downloads for
None listed
No release files
Latest version
v0.1.1
Released 34 days ago
Built with
Python
88% of the code

Is it looked after?

Contributors
15
Last 90 days
Issues
92% closed
6 still open
Pull requests
2,445 merged
93 waiting
Releases
2
2 in the last year

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More: languages, topics and project record

Languages

  • Python 88%
  • C++ 7%
  • Rust 5%
  • Shell <1%

Topics

  • deepseek
  • gpt-oss
  • kimi
  • lightseek
  • llm
  • minimax
  • qwen
  • speed-of-light
  • tokenspeed
  • blackwell
  • glm
  • vlm

Project record

  • JobLocal LLMs
  • StatusFeatured
  • Commits2,420
  • Forks404
  • Watching16
  • Stars in 28 days+204
  • CreatedMay 6, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 9, 2026

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