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Lexus2016/turbo_quant_memory

Local-first MCP memory server for AI coding agents with compact retrieval and project/global scopes.

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Python
10
1
2 contributors
MIT License
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Momentum

How fast Lexus2016/turbo_quant_memory 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 19 – Nov 8, 2026

Stars +1 in 51 days

01
1

Forks +0 in 51 days

01

Merged PRs 1 in 51 days

01
1

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

Not in the Trendshift top 25 in this period

Sep 19Sep 26Oct 3Oct 10Oct 17Oct 24Oct 31Nov 7
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
Sat, Sep 19, 2026+0+00
Sun, Sep 20, 2026+0+00
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Mon, Nov 2, 2026+1+00
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Sun, Nov 8, 2026+0+00
Total+1+01
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Nov 81 post

    • Claude wrote that Mt. Moon was done, walked the wrong way, and fell off a one-way ledge. Three times. The note it trusted was wrong. Anthropic's fix: the agent dreams later. It re-reads the…

      Read full on X, posted by @YevMur

      @YevMur · x.com

  2. 10 days earlier
  3. Oct 291 post

    • 11 AI agent memory systems vs plain search over the raw chat history. In 90 of 99 results, plain search won. Every time memory rewrites what you said into a tidy note, a date or a name can fall out.…

      Read full on X, posted by @YevMur

      @YevMur · x.com

  4. 14 days earlier
  5. Oct 151 post

    • Claude Code now compacts a long session right before the prompt cache expires, after about an hour idle. Per @lydiahallie, coming back only reprocesses the summary. Cheaper. But a summary keeps what…

      Read full on X, posted by @YevMur

      @YevMur · x.com

  6. 23 days earlier
  7. Sep 221 post

    • That is serving-stack compression: Causal Encoder-Decoder, FP4 KV storage, CSA2 cross-layer reuse. More concurrent long sessions on the same GPU. Not the same problem as "what does my coding agent…

      Read full on X, posted by @YevMur

      @YevMur · x.com

  8. Sep 211 post

    • Same ugly middle I hit with coding agents after compaction: they re-read files and re-derive decisions, and I pay the tokens again. CLAUDE.md doesn't answer "what did we decide about X and why?"

      Read full on X, posted by @YevMur

      @YevMur · x.com

  9. Sep 201 post

    • Shipped turbo-quant-memory 0.29. The BM25 rescue lane looked "down-weighted" at 0.3. Math said it was silenced: an FTS-only hit could not beat even the worst vector-only RRF score. Bumped…

      Read full on X, posted by @YevMur

      @YevMur · x.com