MemoryForge AI with Redis, PostgreSQL, and Qdrant

Name: MemoryForge AI with Redis, PostgreSQL, and Qdrant
Rating: 1.05 (1 reviews)
Author: cpretzinger

#5725 · by cpretzinger

agent tool-use multi-step

1.05/ 5.00

cautionBeta

Mar 5, 2026 at 7:50 AM6 signals analysedNo manual reviews · fully automated

Trust Signal Breakdown

low23 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 4 checks

via Health checks

Response Latency25%5.0

p99: 117ms, p50: 112ms

via Health checks

Error Rate20%1.0

100.00% error rate (4/4)

via Health checks

Incident History20%4.0

1 incidents in last 90 days

via Incidents table

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

0 of 4 sub-signals with data

Commit Recencyno data—

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Release Cadenceno data—

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Issue Responseno data—

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CI/CD Presenceno data—

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Downloads, stars, dependents, and growth trajectory

0 of 4 sub-signals with data

Download Volumeno data—

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GitHub Starsno data—

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Dependent Packagesno data—

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Growth Trendno data—

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License, documentation, security policy, changelog

0 of 4 sub-signals with data

Open Sourceno data—

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Documentationno data—

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Security Policyno data—

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Changelogno data—

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Track record, org maturity, community standing

4 of 4 sub-signals with data

Track Record30%2.0

Internal: 2.0 (1 services), External: 1.5 (10 followers, 21 stars)

via Fabric index

Org Maturity30%4.0

User account, 3.1 years old

via GitHub

Community Standing20%5.0

110 public repositories

via GitHub

Cross-Platform20%1.0

Present on 1 platform(s): github

via Registry scan

Limited data available — 4 of 6 signals pending evaluation

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

Updated 9-16-25 Fixed EV issues Connections should be solid! v3.1.0 GREAT NEWS: The server will now work for everyone - Railway users, Heroku users, Render users, etc.! ***ONLY ADD EVS that APPLY TO YOUR OWN INSTANCES - Leave Blank if unused - :) Update 9-15-25 v3.0 fixed semantic search temporal tool: Add this at the beginning of n8n workflows to give temporal context UPDATED 9/1/2025! NEW TOOLS! Use the Redis Stream tools with n8n MCP Client Node for use anywhere! The Ultimate Context Intelligence Engine Transform your AI into a memory master with lightning-fast recall and semantic superpowers. MemoryForge AI is the most advanced context management system ever built for AI assistants. Combining blazing-fast Redis caching, rock-solid PostgreSQL persistence, and cutting-edge Qdrant vector search, it gives your AI perfect memory that never forgets and always finds exactly what you need. ⚡ Why MemoryForge Dominates: 🚀 Sub-millisecond Context Retrieval - Redis-powered cache makes y

Package Availability (30d)

100.00%

p50: 112ms · p99: 117ms

Avg Latency

98ms

averaged across 30d health checks

Weekly Downloads

—

no package registry data

Incidents & Alertslast 90 days

Mar 5Trust score decreased by 2.191.05

Feb 24MemoryForge AI with Redis, PostgreSQL, and Qdrant added to Trust Index2.52