Persistent Ai Memory

savantskie/persistent-ai-memoryMIT⭐ 209🔧 35 tools

F2.0SpiderScore (registry)

⚠ Hard constraint applied: critical vulnerability

Decision

Not Recommended

Confidence

90%

Persistent Ai Memory is not recommended — low score (1.96/10) with 1 critical issues.

Recommended Actions

high
Run In Container
1 critical vulnerabilities require isolation
high
Limit Permissions
Restrict tool access to minimum required scope

Do Not

✗running in production without container isolation
✗using for security-sensitive tasks

Risk Flags (4)

critical
unsafe_deserialization
Unsafe deserialization -- untrusted data may execute arbitrary code
high
token_leakage×15
Secret or token may be leaked through error messages, logs, or return values
medium
ssrf
Potential SSRF -- unrestricted network requests with user-controlled URLs
medium
input_reflection
User input reflected directly in tool output -- may enable prompt injection via reflection

How This Was Decided

negativew=0.5Overall quality score = 1.96/10 (grade F)
negativew=0.81 critical security issue(s) detected
negativew=0.515 high-severity issue(s) detected
negativew=0.3Tool description clarity score = 2.0/10

Source: SpiderRating automated security scanUpdated: 2026-03-21Protocol: v1.1

Description Quality

Composite: 2.0 / 10

3-Layer Breakdown

Description (38%)

2.0

Security (34%)

5.5

Metadata (28%)

8.0

Description Dimensions

Intent Clarity

2.7

Permission Scope

0.0

Side Effects

2.0

Capability Disclosure

3.7

Operational Boundaries

2.3

Security Analysis

5.5

Score

Critical

High

Medium

Low

Findings Redacted

Detailed security findings are hidden during the 90-day responsible disclosure window. Maintainers have been notified.

2 MEDIUM1 CRITICAL15 HIGH

Metadata Health

Provenance (40%)

9.0

Maintenance (35%)

7.0

Popularity (25%)

7.6

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