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personal-memory-system
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 +
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Python
Quality signals
StaleNo testsNo CIThin docsNo licenseNew
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest braxtonROSE4/personal-memory-systemAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
uvx personal-memory-system
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"personal-memory-system": {
"command": "uvx",
"args": [
"personal-memory-system"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
personal-memory-system — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt