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Causal-Memory-Layer

CML (Causal Memory Layer) — a foundational memory layer for recording reasons, permissions, and responsibility behind actions, not just events or results. Enables systems in AI, fintech, security, and…

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50poor
▣ Score BreakdownMCPScore = Σ(raw × weight)
DimensionRawWeighted
Security
35%
100
35.0
Freshness
25%
30
7.5
Adoption
20%
0
0.0
Quality
10%
20
2.0
Trust
10%
50
5.0
Total
49.5
⚿ Capabilities & Risk Explainer
fs readfs writeexecsecrets
◆ Risk level: medium
fs read + fs write + exec + secrets active — can execute code, access credentials, and make external network calls.
⚙ Install config
Source-only — no published npm / pypi package detected.
Clone and follow the build instructions in the repo: github.com/safal207/Causal-Memory-Layer
📈 Score historylast 2 snapshots
6/19/20266/19/2026 · 2 snapshots
⛁ Raw data
weekly downloads0
github stars0
forks0
open issues0
license✗ missing
readme length0 chars
last updated1d ago
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Causal-Memory-Layer — MCP Score: 50/100 | MCPScore | Timeahead