io.github.rishimeka/genesys-memory

MCPcommunity
v0.3.11io.github.rishimekaUnknownUpdated 2mo agoGitHub

Causal graph memory engine for AI agents with scoring, activation, and forgetting

The intelligence layer for AI memory. Scoring engine + causal graph + lifecycle manager for AI agent memory. Speaks MCP natively. Genesys is a scoring engine, causal graph, and lifecycle manager for AI memory. Memories are scored by a multiplicative formula (relevance × connectivity × reactivation), connected in a causal graph, and actively forgotten when they become irrelevant. It plugs into any…

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2mo agoLast update
Package
Authorio.github.rishimeka
LicenseUnknown
Version0.3.11
Sourcemcp-registry
Trust Status
B
60/100Good
Listed in Forge index+10/10
Publisher identity verified+0/25
Publisher: run `forge publish` from the package repo to claim ownership
Ed25519 publish signature+0/10
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Domain verification+0/5
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CVE scan · clean+30/30
Static analysis · clean+20/20
npm provenance (Sigstore)+0/5
Publish from GitHub Actions with the --provenance flag
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StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance
DependenciesNot audited
Tool surface
Security scan✓ Cleanv0.3.15 · 19d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

The intelligence layer for AI memory. Scoring engine + causal graph + lifecycle manager for AI agent memory. Speaks MCP natively. Genesys is a scoring engine, causal graph, and lifecycle manager for AI memory. Memories are scored by a multiplicative formula (relevance × connectivity × reactivation), connected in a causal graph, and actively forgotten when they become irrelevant. It plugs into any storage backend and speaks MCP natively. Flat memory doesn't scale. Dumping everything into a…

Keywords
mcp