io.github.For-Sunny/hebbian-mind-enterprise

MCPcommunity
v2.3.2io.github.For-SunnyUnknownUpdated 6mo agoGitHub

Associative memory via Hebbian learning. Connections strengthen through use, decay through disuse.

Memory that learns. Connections that fade. An MCP server that builds knowledge graphs through use. Concepts connect when they activate together. Unused connections decay. The more you use it, the smarter it gets. Associative Memory - Save content. Query content. Related concepts surface automatically. Hebbian Learning - Edges strengthen through co-activation. No manual linking required. Concept…

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ClaudeCursorCopilotGemini

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6GitHub stars
6mo agoLast update
Package
Authorio.github.For-Sunny
LicenseUnknown
Version2.3.2
Sourcemcp-registry
GitHubFor-Sunny/hebbian-mind-enterprise
SBOMCycloneDX 1.6 ↓
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/20
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—npm maintainer match+0/5
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✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
DependenciesNot audited
Tool surface—
Security scan✓ Cleanv2.3.2 · 3mo agoHow well does this scan work?
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts.

Tools

No tool declarations found in the source3mo ago

Forge read 0 source files from the published package tarball and matched no MCP tool registrations. Extraction is pattern-based over shipped source: a server that builds its tool list at runtime, or that ships only bundled or minified code, registers nothing this can see. Treat it as “not detected”, not as “exposes none”.

About

Memory that learns. Connections that fade. An MCP server that builds knowledge graphs through use. Concepts connect when they activate together. Unused connections decay. The more you use it, the smarter it gets. Associative Memory - Save content. Query content. Related concepts surface automatically. Hebbian Learning - Edges strengthen through co-activation. No manual linking required. Concept Nodes - 100+ pre-defined enterprise concepts across Systems, Security, Data, Operations, and more.…

Keywords
mcp
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No dependency coverage

Forge's dependency resolver reads npm metadata only, so this PyPI package has no resolved tree. That is a gap in coverage, not a clean bill of health.