Board Position

#5 · AI coding still leads, while agent products are starting to break out.

NEW

neuralmind is currently ranked #5 on the Momentum board. First time on the board. Active window: 24h.

Score72
Confidence78%
Surge+9%
Sourcesgithub
agent-memoryai

Reading Flow

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Tool Detail

neuralmind

AI Coding

neuralmind

Persistent memory for AI coding agents. Your agent learns your codebase the way a senior engineer would — what files go together, what you usually edit next. Works with Claude Code, Cursor, Cline, Continue. 100% local. (Side effect: 12-50× cheaper code questions.)

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AI CodingGitHubagent-memoryaiai-codinggithub
Signal Read 1

neuralmind appears on 2 boards right now, with the primary position at #5 on Momentum.

Signal Read 2

This signal is supported by GitHub, spanning 1 source directions.

Signal Read 3

The system has tracked this tool for 6 runs, first seen Apr 27, 07:53 and most recently updated Oct 17, 04:45.

Score72
Weekly growth+9%
Confidence78%
Primary statusMomentum #5

NEW · First time on the board

Discovery statusWatchlist

Pool score 77, based on 1 contributing sources.

Tracked runs6

First seen Apr 27, 07:53, last updated Oct 17, 04:45.

Source coverage1

GitHub

7-day score trend
GitHub signals are derived from stars, forks, watchers, and recent activity.
D1
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7-day rank movement
Lower numbers are closer to the top
#10D1
#10D2
#5D3
#9D4
#6D5
#6D6
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Signal summary

neuralmind appears on 2 boards right now, with the primary position at #5 on Momentum.

This signal is supported by GitHub, spanning 1 source directions.

The system has tracked this tool for 6 runs, first seen Apr 27, 07:53 and most recently updated Oct 17, 04:45.

Discovery assessment
Discovery originPrimary provider

1 sources contributed to the candidate judgement.

Candidate typeProduct candidate

Currently in the Watchlist stage.

Quality score87

Higher scores usually indicate a real product rather than editorial or noisy content.

Manual ruleAutomatic

No manual rule is active, so the system judgement is still automatic.

Text looks more like product copy: agentIncludes product-like sourcesFresh source-page cache hitSource copy looks product-like: agent
System judgement

This section shows how source page evidence, multi-run stability, and auto-promotion logic are combined into the candidate judgement.

Source page evidence+11

1 matched · 1 still fresh

Stability5 consecutive runs

watchlist 5 · ranked 0 · strong 5

Recent snapshotBest 76

Last seen Oct 16, 22:41

Why the system thinks so

Source page evidence: Fresh source-page cache hit

Why the system thinks so

Source page evidence: Source copy looks product-like: agent

Board footprint
Momentum#5
NEW

First time on the board

Score 72Confidence 78%Surge +9%
Newcomers#3
NEW

First time on the board

Score 72Confidence 78%Surge +9%
Why it matters now
  • GitHub is showing a clear upward signal and is worth adding to the watchlist first.
  • Current category: AI Coding. A good fit for the watchlist.
  • Current board score: 72. A useful starting point for the next round of real-data validation.
What could make it noisy
  • The signal still mainly comes from a single source, so more cross-validation is recommended.
  • This is still a short-window snapshot and lacks longer-term real history.
Source timeline
2026-10-17 04:44

Stars 36 / Forks 5 / Watchers 36 / Issues 13 / Active 0d

Cached source page
Source page evidence

This panel aggregates source pages the system has already fetched and cached, so you can judge whether the tool points to a real product site, an editorial page, or just a seed domain.

1 pages
Cached pages1

Total number of fetched pages that are currently available to display.

Successful pages1

Pages fetched successfully with a readable title and summary.

Failed / stale0 / 0

Failed pages will be retried, and stale pages will be refreshed in later syncs.

Domains covered1

Broader domain overlap usually suggests the signal is not just isolated noise.

Status filter

Showing 1 / 1 pages

Sorted by fetch success, freshness, and summary richnessHigh value · 1
Raw signals
GitHubNewcomers #3
Oct 17, 04:45

Persistent memory for AI coding agents. Your agent learns your codebase the way a senior engineer would — what files go together, what you usually edit next. Works with Claude Code, Cursor, Cline, Continue. 100% local. (Side effect: 12-50× cheaper code questions.)

NEWScore 72Confidence 78%Surge +9%
GitHubagent-memoryai
Matching page evidenceView crawl detailSnapshot live-20261017044517293763-ed969dOpen source
GitHubMomentum #5
Oct 17, 04:45

Persistent memory for AI coding agents. Your agent learns your codebase the way a senior engineer would — what files go together, what you usually edit next. Works with Claude Code, Cursor, Cline, Continue. 100% local. (Side effect: 12-50× cheaper code questions.)

NEWScore 72Confidence 78%Surge +9%
GitHubagent-memoryai
Matching page evidenceView crawl detailSnapshot live-20261017044517293763-ed969dOpen source
GitHubNewcomers #4
Oct 16, 22:41

Persistent memory for AI coding agents. Your agent learns your codebase the way a senior engineer would — what files go together, what you usually edit next. Works with Claude Code, Cursor, Cline, Continue. 100% local. (Side effect: 12-50× cheaper code questions.)

NEWScore 72Confidence 78%Surge +9%
GitHubagent-memoryai
Matching page evidenceView crawl detailSnapshot live-20261016224138974431-8fb2a8Open source
GitHubMomentum #6
Oct 16, 22:41

Persistent memory for AI coding agents. Your agent learns your codebase the way a senior engineer would — what files go together, what you usually edit next. Works with Claude Code, Cursor, Cline, Continue. 100% local. (Side effect: 12-50× cheaper code questions.)

NEWScore 72Confidence 78%Surge +9%
GitHubagent-memoryai
Matching page evidenceView crawl detailSnapshot live-20261016224138974431-8fb2a8Open source
GitHubNewcomers #4
Jul 17, 19:12

Persistent memory for AI coding agents. Your agent learns your codebase the way a senior engineer would — what files go together, what you usually edit next. Works with Claude Code, Cursor, Cline, Continue. 100% local. (Side effect: 40-70× cheaper code questions.)

NEWScore 72Confidence 78%Surge +9%
GitHubagent-memoryai
Matching page evidenceView crawl detailSnapshot live-20260717191242066752-38562cOpen source
GitHubMomentum #6
Jul 17, 19:12

Persistent memory for AI coding agents. Your agent learns your codebase the way a senior engineer would — what files go together, what you usually edit next. Works with Claude Code, Cursor, Cline, Continue. 100% local. (Side effect: 40-70× cheaper code questions.)

NEWScore 72Confidence 78%Surge +9%
GitHubagent-memoryai
Matching page evidenceView crawl detailSnapshot live-20260717191242066752-38562cOpen source
GitHubNewcomers #5
Jun 20, 22:43

Persistent memory for AI coding agents. Your agent learns your codebase the way a senior engineer would — what files go together, what you usually edit next. Works with Claude Code, Cursor, Cline, Continue. 100% local. (Side effect: 40-70× cheaper code questions.)

NEWScore 72Confidence 78%Surge +9%
GitHubagent-memoryai
Matching page evidenceView crawl detailSnapshot live-20260620224357560784-5ace58Open source
GitHubMomentum #9
Jun 20, 22:43

Persistent memory for AI coding agents. Your agent learns your codebase the way a senior engineer would — what files go together, what you usually edit next. Works with Claude Code, Cursor, Cline, Continue. 100% local. (Side effect: 40-70× cheaper code questions.)

NEWScore 72Confidence 78%Surge +9%
GitHubagent-memoryai
Matching page evidenceView crawl detailSnapshot live-20260620224357560784-5ace58Open source
GitHubNewcomers #3
Jun 11, 18:18

Persistent memory for AI coding agents. Your agent learns your codebase the way a senior engineer would — what files go together, what you usually edit next. Works with Claude Code, Cursor, Cline, Continue. 100% local. (Side effect: 40-70× cheaper code questions.)

NEWScore 72Confidence 78%Surge +9%
GitHubagent-memoryai
Matching page evidenceView crawl detailSnapshot live-20260611181816302786-0ef7d3Open source
GitHubMomentum #5
Jun 11, 18:18

Persistent memory for AI coding agents. Your agent learns your codebase the way a senior engineer would — what files go together, what you usually edit next. Works with Claude Code, Cursor, Cline, Continue. 100% local. (Side effect: 40-70× cheaper code questions.)

NEWScore 72Confidence 78%Surge +9%
GitHubagent-memoryai
Matching page evidenceView crawl detailSnapshot live-20260611181816302786-0ef7d3Open source
GitHubNewcomers #5
Apr 27, 07:53

🧠 Adaptive Neural Knowledge System - 40-70x token reduction for AI code understanding

NEWScore 72Confidence 78%Surge +9%
GitHubaiai-coding
Matching page evidenceView crawl detailSnapshot live-20260427075344875125-bead66Open source
GitHubMomentum #10
Apr 27, 07:53

🧠 Adaptive Neural Knowledge System - 40-70x token reduction for AI code understanding

NEWScore 72Confidence 78%Surge +9%
GitHubaiai-coding
Matching page evidenceView crawl detailSnapshot live-20260427075344875125-bead66Open source
Continue reading
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