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GBrain

Shares rank 14 of 20 agent memory systems by recommenders

People recommend GBrain as provider-agnostic AI memory and a useful starting point for individuals. Critics say it needs technical knowledge and time to configure.

People recommend GBrain as provider-agnostic AI memory and a useful starting point for individuals. Critics say it needs technical knowledge and time to configure.

7 people gave an opinion

recommend it
5
criticize it
2
approval share
71%
Each figure is one person. RecommendsCriticizes

Recommended in 3 of 13 months

  1. November 2025: not recommended
  2. December 2025: not recommended
  3. January 2026: not recommended
  4. February 2026: not recommended
  5. March 2026: not recommended
  6. April 2026: not recommended
  7. May 2026: recommended
  8. June 2026: not recommended
  9. July 2026: not recommended
  10. August 2026: recommended
  11. September 2026: recommended
  12. October 2026: not recommended
  13. November 2026: not recommended (month in progress)

Why it doesn’t carry the badge

  • 5 people recommend itNeeds 10 or more, not met.
  • 2.5 recommenders for every criticNeeds 2 to 1 or better, met.
  • Recommended in 3 of 13 monthsNeeds 4 or more, not met.

The same three rules apply to every product, and the badge can’t be bought. How the badge works

What people say about it

The reasons people give, with the number of comments that give each one. Open a reason to read what they said.

Why people recommend it

Each mark is one comment

  • Inspiring idea and awesome project

    “certainly one of the most inspiring blog posts / papers I have read this year”

    Comment from 11 May 2026 in “Garry Tan's GBrain – most important idea of the year”

    “gbrain is an awesome project”

    Comment from 7 Sep 2026 in “Show HN: Engrim – A universal, local-first SQLite memory engine for AI CLIs”

What people warn about

Each mark is one comment

  • Needs technical knowledge and time

    “those are highly configurable and powerful, but require technical knowledge and time”

    Comment from 22 Aug 2026 in “Show HN: OzBrain, a shared brain for knowledge between agents and your team”

Other agent memory systems people recommend

The four most recommended other agent memory systems, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.

GBrain compared with 4 alternatives
ProductRecommendCriticizeApprovalMonthsOwnedBadge
Engrim210100%4—Approved
Total Recall for Claude Code12475%5—Approved
OKF Agent Memory9375%3——
MemPalace9853%3——
GBrainThis page5271%3——
See all 20 agent memory systems, ranked

What people said

All 7 comments that mention it, newest first. Each links to the original comment.

“gbrain is an awesome project”

RecommendsComment from 7 Sep 2026 in “Show HN: Engrim – A universal, local-first SQLite memory engine for AI CLIs”

“I'm currently using gbrain as provider-agnostic memory but miss how lightweight SQLite is in practice”

MixedComment from 7 Sep 2026 in “Show HN: Engrim – A universal, local-first SQLite memory engine for AI CLIs”

“those are highly configurable and powerful, but require technical knowledge and time”

MixedComment from 22 Aug 2026 in “Show HN: OzBrain, a shared brain for knowledge between agents and your team”

“There are tons of hard-coded regexes that may work beautifully for Garry's priorities and workflow that don't fit other use cases”

CriticizesComment from 22 Aug 2026 in “Show HN: OzBrain, a shared brain for knowledge between agents and your team”

“Gbrain is super useful as a starting point for an individual”

RecommendsComment from 1 Aug 2026 in “qm”

“certainly one of the most inspiring blog posts / papers I have read this year”

RecommendsComment from 11 May 2026 in “Garry Tan's GBrain – most important idea of the year”

“Perhaps you can help me build a better backend for this”

CriticizesComment from 23 Apr 2026 in “Show HN: GBrain, an AI tool for diagnosis and therapy for neurodivergents”

Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.