Memento

Name: Memento
Rating: 2.99 (1 reviews)
Author: gannonh

#1728 · by gannonh

agent tool-use multi-step

2.99/ 5.00

cautionBeta

Mar 3, 2026 at 7:21 AM6 signals analysedNo manual reviews · fully automated

Trust Signal Breakdown

medium23 sub-signals across 6 dimensions

CVEs, dependency health, and supply chain integrity

0 of 3 sub-signals with data

Known CVEsno data—

Weight redistributed to sub-signals with data

Dependency Healthno data—

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Supply Chainno data—

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Uptime, latency, error rates, and incident history

4 of 4 sub-signals with data

Uptime35%5.0

100.00% over 3 checks

via Health checks

Response Latency25%5.0

p99: 155ms, p50: 147ms

via Health checks

Error Rate20%1.0

33.33% error rate (1/3)

via Health checks

Incident History20%3.0

2 incidents in last 90 days

via Incidents table

Commit recency, release cadence, issue response, CI/CD

4 of 4 sub-signals with data

Commit Recency30%2.0

via GitHub

Release Cadence25%1.0

via GitHub

Issue Response20%5.0

via GitHub

CI/CD Presence25%5.0

via GitHub Actions

Downloads, stars, dependents, and growth trajectory

1 of 4 sub-signals with data

Download Volumeno data—

Weight redistributed to sub-signals with data

GitHub Stars100%2.0

404 stars

via GitHub

Dependent Packagesno data—

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Growth Trendno data—

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License, documentation, security policy, changelog

4 of 4 sub-signals with data

Open Source30%5.0

Public repo with OSI-approved license (mit)

via GitHub

Documentation25%4.0

Good README (>2000 bytes with examples)

via GitHub

Security Policy20%2.0

No SECURITY.md found

via GitHub

Changelog25%5.0

CHANGELOG.md present and releases exist

via GitHub

Track record, org maturity, community standing

0 of 4 sub-signals with data

Track Recordno data—

Weight redistributed to sub-signals with data

Org Maturityno data—

Weight redistributed to sub-signals with data

Community Standingno data—

Weight redistributed to sub-signals with data

Cross-Platformno data—

Weight redistributed to sub-signals with data

About this score

Scored across 23 sub-signals in 6 dimensionsScoring engine v1 (beta) — actively being expandedPhase 1: Core sub-signal architecture (live)Phase 2: Permission scope & expanded collection (in progress)

Trust AssessmentAI Assessment

Enhance your LLM applications with a scalable knowledge graph memory system. Utilize semantic search and temporal awareness to manage and retrieve information effectively, ensuring your agents have persistent and contextual memory capabilities.

Package Availability (30d)

100.00%

p50: 147ms · p99: 155ms

Avg Latency

105ms

averaged across 30d health checks

Weekly Downloads

—

no package registry data

Transparency & Compliance3/5 passed

✓

Open Source CodePublic repository on GitHub