Lexus2016

Turbo Quant Memory — AI skill for Claude Code

AI community

Local-first MCP memory server for AI coding agents with compact retrieval and project/global scopes.

How to install Turbo Quant Memory

This entry records only its repository, not the path inside it, so there is no exact command to give. Open Lexus2016/turbo_quant_memory and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Turbo Quant Memory does

Local-first MCP memory server for AI coding agents with compact retrieval and project/global scopes.

Alternatives in AI

  • Jcodemunch MCP — Cut AI token costs 95%+ on code exploration 2.6k ★
  • Kindly Web Search MCP Server — Kindly Web Search MCP Server: Web search + robust content retrieval for AI coding tools (Claude Code, Codex, C 377 ★
  • Ataru — High-performance AI memory retrieval for local agent history — a Rust search core (SDK / API / JSON CLI) plus 351 ★

README

Turbo Quant Memory

Local-first memory and knowledge graph for AI coding agents

Your agent stops re-reading files and re-deriving the same conclusions.
Your notes, code and secrets never leave your machine.

PyPI License: MIT MCP Registry Python 3.11+ CI MCP tools Local-first


The problem

A long session accumulates hard-won detail about why the code is the way it is. Then the context compacts and it is gone. Next session the agent re-reads the same files, re-derives the same conclusions, and bills you for the same tokens again.

`CLAUDE.md` does not scale past a few dozen lines, and it cannot answer *"what did we decide about X, and why?"*.

**Turbo Quant Memory** is an MCP server that gives the agent a persistent, searchable store it writes to while it works — decisions, lessons, patterns, session handoffs — plus a compact index of your Markdown. Retrieval returns ~220-character result cards rather than whole docume