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factlayer MCP Server

Rubber-Duck-Screaming/factlayer

Score: 55.1 Rank #8799 MCP Server
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Freshness-check layer for AI agent memory flags stale facts (job, location, etc.) before agents state them as current. Its a local-first fact freshness tracking system built to prevent LLM context drift and hallucinations. Plugs into Mem0, Zep, Cognee, or your own store.

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Overview

Rubber-Duck-Screaming/factlayer is a TypeScript tool licensed under MIT. Freshness-check layer for AI agent memory flags stale facts (job, location, etc.) before agents state them as current. Its a local-first fact freshness tracking system built to prevent LLM context drift and hallucinations. Plugs into Mem0, Zep, Cognee, or your own store.

Ranked #8799 out of 24840 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

TypeScript MIT

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1

1 stars → early stage

Freshness 25% 2d ago

Last commit 2d ago → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 0
Description Detailed
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Matched Queries

topic:mcptopic:model-context-protocol

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