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AI-MemoryHub MCP Server

Traceless-zero/AI-MemoryHub

Score: 51.0 Rank #14482 Search & RAG
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零依赖确定性 Agent 长期记忆系统 — Markdown 权威源 + 薄索引,拒答/澄清替代向量硬猜,玻璃盒可审计。 | Zero-dependency deterministic agent memory system — Markdown authoritative store + thin index, refuse/clarify instead of vector guessing. A glass-box alternative to RAG.

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Overview

Traceless-zero/AI-MemoryHub is a Python tool. 零依赖确定性 Agent 长期记忆系统 — Markdown 权威源 + 薄索引,拒答/澄清替代向量硬猜,玻璃盒可审计。 | Zero-dependency deterministic agent memory system — Markdown authoritative store + thin index, refuse/clarify instead of vector guessing. A glass-box alternative to RAG.

Ranked #14482 out of 24840 indexed tools.

Ecosystem

Python No license

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 4

4 stars → early stage

Freshness 25% 13d ago

Last commit 13d ago → recently updated

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 None

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

How to Improve

License low impact

Add an MIT or Apache-2.0 license to signal trust and enable adoption

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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