A Markdown wiki outscored every AI agent memory product we benchmarked

Aug 3, 2026 · 2:12 PM UTC ·22 min read · 0 reactions · 0 comments · 2 views

#markdown #wiki #outscored #every #agent

TL;DR · WeSearch summary

'transform 450ms ease-in-out' : 'none'; mv.style.transform = 'translate(' + (m1.cx - m0.cx) + 'px,' + (m1.cy - m0.cy) + 'px)'; } var lb = a.querySelector('[data-lb]'); if(lb){ lb.style.transition = animate ? Agentic Memory Indexi The overall score: how often each tool finds the right answer. 2.7sKarpathy Wiki4.3sZep4.4sMitosis Cortex5.3sMem05.5sSupermemory7.9sHyperspell9.0sAnthropic Memory10.3sgbrain 2.7s4.3s4.4s5.3s5.5s7.9s9.0s10.3s Claude Code built-in memory 2.1s Check your own setup Your agent already knows which tools you run.

Key facts

▪'transform 450ms ease-in-out' : 'none'; mv.style.transform = 'translate(' + (m1.cx - m0.cx) + 'px,' + (m1.cy - m0.cy) + 'px)'; } var lb = a.querySelector('[data-lb]'); if(lb){ lb.style.transition = animate ?
▪Agentic Memory Indexi The overall score: how often each tool finds the right answer.
▪2.7sKarpathy Wiki4.3sZep4.4sMitosis Cortex5.3sMem05.5sSupermemory7.9sHyperspell9.0sAnthropic Memory10.3sgbrain 2.7s4.3s4.4s5.3s5.5s7.9s9.0s10.3s Claude Code built-in memory 2.1s Check your own setup Your agent already knows which tools you

About this source

Hacker News (AI / LLM) files mainly under ai. We currently carry 3,362 of its stories.

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Original article

Verging Labs

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Story provenance

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Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.

Record

Original publisher	Verging Labs
Canonical URL	https://verginglabs.com/
Publication time	Mon, 03 Aug 2026 14:12:03 +0000
Retrieval time	2026-08-03T14:25:42.951Z
Last seen	2026-08-03T14:25:42.951Z
Headline source	Publisher (no WeSearch rewrite)
Excerpt source	publisher body
Excerpt method	First ~120 words (~800 chars) of extracted publisher body, fair-use limited.
Summary	WeSearch · cerebras-chat (WeSearch summarizer)
Summary source text	contentText
Citation coverage	Summary is a WeSearch-generated derivative; primary citation is the original publisher URL.
Cluster	GWfCk4wIuhPF · 1 stories
Cluster logic	Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reason	Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visit	Yes — open original
Substitutes article?	No — link-out required for full text

Rights status (four layers)

Publisher-declared

No publisher-confirmed rights record for this source yet.

Machine-readable

No source-specific machine-readable restriction detected beyond the public feed.

WeSearch interpretation

WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.

Unknown

Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

Indexing	May the item be indexed (stored, ranked, made findable)?	Allowed
Snippet	May a short excerpt of the publisher's text be shown?	Allowed
AI summary	May WeSearch generate its own short summary of the article?	Limited
Retrieval / RAG	May the content be exposed for third-party retrieval-augmented generation?	Not asserted
Model training	May the content be used to train AI models?	Not asserted
Commercial reuse	May the content be reused commercially?	Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Open original publisher → Source rights JSON → Machine-readable provenance → Rights framework → WESEARCH-STORY-PROVENANCE-V1

Opening excerpt (first ~120 words) tap to expand

.bl-short, .lh-short { display: none; } @media (max-width: 600px) { .bl-full, .lh-full { display: none; } .bl-short, .lh-short { display: inline; } /* Narrow-viewport table fit (round 16): smaller type, tighter column gaps and card padding, smaller row logos; the wrapper still scrolls as a last resort instead of clipping columns at the card edge. y hidden: the concealed tooltip boxes below the last row would otherwise summon a vertical scrollbar. */ .lb-wrap { overflow-x: auto; overflow-y: hidden; } .lb-wrap table { font-size: 11px !important; } .lb-wrap th:not(:last-child), .lb-wrap td:not(:last-child) { padding-right: 6px !important; } .lb-wrap th:last-child, .lb-wrap td:last-child { padding-right: 0 !important; } .lb-wrap td img { width: 15px !important; height: 15px !important; }…

Excerpt limited to ~120 words for fair-use compliance. The full article is at Verging Labs.

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