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LMCache/LMCache

LMCache: Supercharge Your LLM with the Fastest KV Cache Layer

Visit GitHub
Python
12.4k
2.4k
242 contributors
Apache License 2.0
website
AchievementsView all →
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Momentum

How fast LMCache/LMCache is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Sep 16 – Nov 15, 2026

Stars +552 in 61 days

02040
32

Forks +425 in 61 days

02040
38

Merged PRs 617 in 61 days

0102030
29

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Sep 16Sep 24Oct 2Oct 10Oct 18Oct 26Nov 3Nov 11
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Wed, Sep 16, 2026+10+57
Thu, Sep 17, 2026+20+415
Fri, Sep 18, 2026+13+1712
Sat, Sep 19, 2026+6+66
Sun, Sep 20, 2026+9+82
Mon, Sep 21, 2026+8+85
Tue, Sep 22, 2026+9+311
Wed, Sep 23, 2026+4+1020
Thu, Sep 24, 2026+6+510
Fri, Sep 25, 2026+6+32
Sat, Sep 26, 2026+4+53
Sun, Sep 27, 2026+13+22
Mon, Sep 28, 2026+6+312
Tue, Sep 29, 2026+9+714
Wed, Sep 30, 2026+4+412
Thu, Oct 1, 2026+4+81
Fri, Oct 2, 2026+0+03
Sat, Oct 3, 2026+6+41
Sun, Oct 4, 2026+6+21
Mon, Oct 5, 2026+2+56
Tue, Oct 6, 2026+3+14
Wed, Oct 7, 2026+9+34
Thu, Oct 8, 2026+9+47
Fri, Oct 9, 2026+2+413
Sat, Oct 10, 2026+14+127
Sun, Oct 11, 2026+4+57
Mon, Oct 12, 2026+6+39
Tue, Oct 13, 2026+31+79
Wed, Oct 14, 2026+32+1318
Thu, Oct 15, 2026+19+1518
Fri, Oct 16, 2026+12+137
Sat, Oct 17, 2026+4+376
Sun, Oct 18, 2026+4+387
Mon, Oct 19, 2026+11+2811
Tue, Oct 20, 2026+10+715
Wed, Oct 21, 2026+14+629
Thu, Oct 22, 2026+8+822
Fri, Oct 23, 2026+3+510
Sat, Oct 24, 2026+4+04
Sun, Oct 25, 2026+5+27
Mon, Oct 26, 2026+11+1010
Tue, Oct 27, 2026+10+613
Wed, Oct 28, 2026+24+820
Thu, Oct 29, 2026+23+618
Fri, Oct 30, 2026+10+610
Sat, Oct 31, 2026+9+57
Sun, Nov 1, 2026+5+44
Mon, Nov 2, 2026+5+710
Tue, Nov 3, 2026+10+610
Wed, Nov 4, 2026+7+521
Thu, Nov 5, 2026+11+519
Fri, Nov 6, 2026+12+513
Sat, Nov 7, 2026+6+45
Sun, Nov 8, 2026+3+18
Mon, Nov 9, 2026+10+410
Tue, Nov 10, 2026+12+821
Wed, Nov 11, 2026+12+422
Thu, Nov 12, 2026+6+616
Fri, Nov 13, 2026+9+316
Sat, Nov 14, 2026+4+25
Sun, Nov 15, 2026+4+00
Total+552+425617
  • 1#1 on the list
  • 7Rank that day
  • Not trending
2

    • GitHub trending history

    Where the repository ranked on GitHub Trending, one dot for each day it was on a list

    Jun 29, 2025 – Jun 13, 2026Best #3

    #1#5#10#15#20#25
    Top 10
    Jul 2025SepNovJan 2026MarMayJul
    The left and right arrow keys step from day to day; Home and End go to the first and the last

    Mentions and achievements

    Where people are talking about LMCache/LMCache, and every badge it has earned
    1. Nov 121 post

      • My first PR to @lmcache (KV-cache layer for LLM serving) just got merged.

        Read full on X, posted by @atharvav75

        @atharvav75 · x.com

    2. 11 days earlier
    3. Nov 11 post

      • Notable Open-Source Projects this week: - LMCache: Implements KV-cache reuse, adaptive eviction and HTTP API-key authentication. Relevant for reducing inference latency in repeated-context workloads.…

        Read full on X, posted by @KTee95d

        @KTee95d · x.com

    4. 24 days earlier
    5. Oct 81 post

      • AI agents are getting expensive - 6 OSS repos that make them cheaper without making them dumber

        Read full on Reddit

        r/WebAfterAI

    6. 16 days earlier
    7. Sep 221 post

      • i would trade half my decode speed for faster prefill on local models it matters like 10x more than decode imo

        Read full on X, posted by @kk_spartans

        @kk_spartans · x.com

    8. 8 days earlier
    9. Sep 141 post

      • 最近GitHub上爬得快的AI仓库，十条！ 1.headroom 日志、文件、RAG切片先压一轮再送给模型，token能少六成到九成。库、代理、MCP三种接法。 2.Agent-Reach 给Agent加一双眼睛，X、Reddit、YouTube、GitHub能横着搜。一条命令起来，不用先申请一堆Key。各站条款自己看。 3.agent-skills Addy…

        Read full on X, posted by @shanyanggm

        @shanyanggm · x.com

    10. Sep 111 post

      • USB Prefill Acellerator / USB RAM

        Read full on Reddit

        r/LocalLLM

    11. 1 month earlier
    12. Jul 301 post

      • Long-context LLM apps can waste time recomputing KV state they have already seen. LMCache is a KV cache management layer for builders serving LLMs. It helps you reduce repeated prefill work and time…

        Read full on X, posted by @DanKornas

        @DanKornas · x.com

    13. 13 days earlier
    14. Jul 171 post

      • vLLM and LMCache delivered a 2.8x speedup for repeated prompts without any GPU. Their GitHub has 10K stars. LLMs repeatedly calculate KV cache tensors for prompt tokens before generating each new…

        Read full on X, posted by @rohanpaul_ai

        @rohanpaul_ai · x.com

    15. Jul 162 posts

      • 🧵 8. LMCache is becoming an integral layer in the LLM inference ecosystem, with community-driven integration with serving engines, inference frameworks, hardware vendors, storage systems, and…

        Read full on X, posted by @rohanpaul_ai

        @rohanpaul_ai · x.com

      • Repeated prefill is one of the quietest wastes in LLM serving. LMCache tackles the problem by saving and getting back KV cache. - 10K+ Github stars - Benchmark shows up to to a 10.7x speedup - And…

        Read full on X, posted by @rohanpaul_ai

        @rohanpaul_ai · x.com

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