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patibandlavenkatamanideep/memoryops-ai

Governed memory runtime for AI assistants: policy-before-storage, context admission, memory usage trace, deletion proof, leakage evals, auth adapters, vector backends, observability, evidence bundles, SDK, benchmarks, and agent integrations.

#AI memory
Visit GitHub
Python
22
5
2 contributors
MIT License
website
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Momentum

How fast patibandlavenkatamanideep/memoryops-ai 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 8 – Nov 5, 2026

Stars +3 in 59 days

01
1

Forks +1 in 59 days

01
1

Merged PRs 0 in 59 days

01

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

Not in the Trendshift top 25 in this period

Sep 8Sep 16Sep 24Oct 2Oct 10Oct 18Oct 26Nov 3
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
Tue, Sep 8, 2026+1+00
Wed, Sep 9, 2026+1+10
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Total+3+10
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Aug 171 post

    • MemoryOps AI v2.5 update: making AI memory governance claims reproducible

      Read full on Reddit

      r/LLMDevs

  2. 13 days earlier
  3. Aug 41 post

    • MemoryOps AI update: from governed memory to production hardening, audit trails, and API security boundaries

      Read full on Reddit

      r/LLMDevs

  4. 13 days earlier
  5. Jul 221 post

    • 7/ MemoryOps now has: SDK playground benchmark runner Docker benchmark profile adapter support matrix LangGraph tutorial vector backend abstraction agent framework examples tamper-evident audit…

      Read full on X, posted by @ManideepPa5443

      @ManideepPa5443 · x.com

  6. 7 days earlier
  7. Jul 151 post

    • 7/ MemoryOps is still evolving Current focus: • SDK installation and onboarding • real-provider validation • retrieval-quality evaluation • external memory baselines • stronger performance evidence I…

      Read full on X, posted by @ManideepPa5443

      @ManideepPa5443 · x.com

  8. Jul 101 post3 posts

    • I built an open-source governed memory layer for AI assistants, looking for feedback

      Read full on Reddit

      r/AIAssisted

    • I built MemoryOps AI, an open-source governed memory layer for AI assistants looking for feedback

      Read full on Reddit

      r/learnmachinelearning

    • 5/ The hardest part is deletion. Deleting a memory row is not enough if that fact survives in summaries, caches, compressed context, derived memories, or future outputs. So MemoryOps tests deletion…

      Read full on X, posted by @ManideepPa5443

      @ManideepPa5443 · x.com

  9. 10 days earlier
  10. Jun 303 posts

    • I built an open-source memory governance layer for AI assistants - looking for technical feedback

      Read full on Reddit

      r/learnmachinelearning

    • I built an open-source memory governance layer for AI assistants — looking for technical feedback

      Read full on Reddit

      r/SideProject

    • Show HN: MemoryOps AI – governed memory lifecycle for AI assistants

      Read full on Hacker News

      Hacker News

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