Board Position
#5 · AI coding still leads, while agent products are starting to break out.
neuralmind is currently ranked #5 on the Momentum board. First time on the board. Active window: 24h.
Board Position
neuralmind is currently ranked #5 on the Momentum board. First time on the board. Active window: 24h.
Reading Flow
There are 14 results in the current filtered view. Staying in the same context makes it easy to compare neighboring tools and movement changes.
Open, self-hostable agentic service for organizations — durable, replayable agent sessions, human approvals, governed credentials and memory, running in managed sandboxes or on your own hardware. Apache-2.0.
Next#6 claude-gatewayTurn Claude Code into a voice-enabled, multi-channel assistant that runs tasks in parallel
Tool Detail
AI Coding
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.)
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.
NEW · First time on the board
Pool score 77, based on 1 contributing sources.
First seen Apr 27, 07:53, last updated Oct 17, 04:45.
GitHub
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.
1 sources contributed to the candidate judgement.
Currently in the Watchlist stage.
Higher scores usually indicate a real product rather than editorial or noisy content.
No manual rule is active, so the system judgement is still automatic.
This section shows how source page evidence, multi-run stability, and auto-promotion logic are combined into the candidate judgement.
1 matched · 1 still fresh
watchlist 5 · ranked 0 · strong 5
Last seen Oct 16, 22:41
Source page evidence: Fresh source-page cache hit
Source page evidence: Source copy looks product-like: agent
First time on the board
First time on the board
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.
Total number of fetched pages that are currently available to display.
Pages fetched successfully with a readable title and summary.
Failed pages will be retried, and stale pages will be refreshed in later syncs.
Broader domain overlap usually suggests the signal is not just isolated noise.
Status filter
Showing 1 / 1 pages
Persistent memory for AI coding agents. Your agent learns your codebase the way a senior engineer would — what files go together, what you usually edi…
https://github.com/dfrostar/neuralmindThe fetch succeeded and the cache is still fresh, which makes this page a strong signal for judging whether the product is active and real.
This evidence is already linked to a raw signal record, so you can continue tracing the source from the signal detail page.
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.)
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.)
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.)
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.)
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.)
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.)
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.)
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.)
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.)
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.)
🧠 Adaptive Neural Knowledge System - 40-70x token reduction for AI code understanding
🧠 Adaptive Neural Knowledge System - 40-70x token reduction for AI code understanding