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personal-memory-system MCP Server

braxtonROSE4/personal-memory-system

Score: 54.1 Rank #1606 Agent Framework
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Every AI memory framework stores and searches memories. But storing ≠ using. PMS solves the second problem — a memory consumption methodology for Claude Code and OpenClaw that transforms stored memories into actionable lessons, so your agent gets measurably better at helping you work. Built on 4 Hooks + 1 MCP server + 1 indexer.

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Overview

braxtonROSE4/personal-memory-system is a Python MCP server licensed under MIT. Every AI memory framework stores and searches memories. But storing ≠ using. PMS solves the second problem — a memory consumption methodology for Claude Code and OpenClaw that transforms stored memories into actionable lessons, so your agent gets measurably better at helping you work. Built on 4 Hooks + 1 MCP server + 1 indexer.

Ranked #1606 out of 27488 indexed tools.

In the top 6% of all indexed tools.

Ecosystem

Python MIT

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 2

2 stars → early stage

Freshness 25% 12d ago

Last commit 12d 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 MIT

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · 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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AgentRank score for braxtonROSE4/personal-memory-system
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Matched Queries

"mcp server""mcp-server"

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