Power your agent
คำสั่งของผู้เผยแพร่เอง ไม่ใช่เอนด์พอยต์ของ PlugMCP
Host a copy with our keys and logs.
uvx turbo-quant-memory==0.36.1Claude Code ไม่มีลิงก์ติดตั้งสำหรับคำสั่งแบบโลคัล ให้คัดลอกคำสั่งด้านล่างแล้วรันในเทอร์มินัล
TQMEMORY_FTS_LANGUAGE=<value> TQMEMORY_EMBEDDING_BACKEND=<value> TQMEMORY_MIGRATE_ON_STARTUP=<value> TQMEMORY_SECRETS_PASSPHRASE=<secret> claude mcp add io.github.lexus2016-turbo-quant-memory -- uvx turbo-quant-memory==0.36.1รันในเทอร์มินัล
{ "mcpServers": { "io.github.lexus2016-turbo-quant-memory": { "command": "uvx", "args": [ "turbo-quant-memory==0.36.1" ], "env": { "TQMEMORY_FTS_LANGUAGE": "<value>", "TQMEMORY_EMBEDDING_BACKEND": "<value>", "TQMEMORY_MIGRATE_ON_STARTUP": "<value>", "TQMEMORY_SECRETS_PASSPHRASE": "<secret>" } } }}claude_desktop_config.json
URL แบบรีโมตหรือคำสั่งบนเครื่องของคุณ? การติดตั้งสองแบบต่างกันอย่างไร
รันบน PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
เปิดจากผู้เผยแพร่
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?".
Local-first memory and knowledge graph for coding agents. Compact retrieval, no network.
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 documents; the agent loads full content only when a card is not enough.
No HTTP client, no telemetry, no phone-home. Verify it yourself — this returns nothing:
grep -rnE '^[[:space:]]*(import|from)[[:space:]]+(requests|httpx|aiohttp|urllib3)\b' src/
To be precise about the one exception: on first run fastembed downloads the embedding model (~0.22 GB) from Hugging Face. After that the server runs fully offline. Your notes, code and secrets are never transmitted anywhere — there is nothing in the package that could send them.
Paste this into Claude Code, Codex, Gemini CLI, Cursor or Antigravity:
Install and configure the Turbo Quant Memory MCP server for this workspace from https://github.com/Lexus2016/turbo_quant_memory — follow the README, register the
tqmemoryserver, runturbo-memory-mcp skill install, run the health check, and index this project.
skill install copies an operating manual into every agent skill directory on the machine, so every future session already knows how to use the memory without being told.
uv tool install turbo-quant-memory
Upgrading from 0.27.x or earlier? The distribution was renamed in 0.28.0, so
uv tool upgrade turbo-memory-mcp no longer resolves — run
uv tool install --force turbo-quant-memory once, and uv tool upgrade turbo-quant-memory afterwards. The turbo-memory-mcp command itself is
unchanged, so client configs keep working.
Then register the server with your client:
claude mcp add --scope project tqmemory -- turbo-memory-mcp serve # Claude Code
codex mcp add tqmemory -- turbo-memory-mcp serve # Codex
gemini mcp add tqmemory turbo-memory-mcp serve # Gemini CLI
Cursor, OpenCode, Antigravity and other clients → CLIENT_INTEGRATIONS.md. Hermes runs MCP through a systemd gateway → docs/hermes.md.
Turbo Quant Memory doesn't just claim to save tokens — every install keeps a running tally you can read anytime with server_info() (field usage_stats.headline). The savings are yours to verify, not ours to promise.
Live snapshot from a real developer instance (v0.28.2):
These are one machine's cumulative numbers, not a synthetic benchmark — your own counter starts at zero and grows as your agent works. Run
server_info()on your install to see your real figure.
decision, lesson, pattern, handoff — each stored with tags, provenance and a knowledge-graph link to the file or issue it is about.durable (decisions, patterns) and reference (indexed docs) are searched by default; episodic (session handoffs) stays out of the way until you ask for it, so yesterday's noise never buries an architectural decision.human-explicit and ranks above the agent's own observations at equal relevance.Full technical detail → docs/features.md
If you run more than one agent in the same working tree, tqmemory connects them automatically. There is nothing to configure.
workspace_status lists the active sessions, what each one announced it is working on (announce_work, finish_work) and which files changed recently. A session that made no tqmemory call for 30 minutes is listed under idle_sessions instead: it is not an active peer and its announced areas are left out of overlaps. Other tqmemory responses carry a short workspace note only when something new has happened, and never for a lone session. health and server_info always include a workspace diagnostics block..gitignore or .tqmemoryignore). Several quick writes in a row can be merged into one version. file_history lists the versions and restore_file brings one back; the restore is itself undoable. The same is available from a terminal: turbo-memory-mcp files log and turbo-memory-mcp files restore.TQMEMORY_JOURNAL_MAX_FILE_BYTES, TQMEMORY_JOURNAL_MAX_BYTES and TQMEMORY_JOURNAL_RETENTION_DAYS; the size limit is a target, not a hard maximum.This is partial protection, not a guarantee that every change is saved. It does not block writes: two agents can still overwrite each other's work, and tqmemory can only show it and help you recover. Agents that never call tqmemory see nothing. It works on one computer only. To turn it off, set TQMEMORY_WORKSPACE_DISABLE=1.
MIT. Copy it, modify it, fork it, ship it inside a closed-source product, sell it. Attribution is the only condition.
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Local-first memory and knowledge graph for coding agents. Compact retrieval, no network.
{ "mcpServers": { "io.github.lexus2016-turbo-quant-memory": { "command": "uvx", "args": [ "turbo-quant-memory==0.36.1" ], "env": { "TQMEMORY_FTS_LANGUAGE": "<value>", "TQMEMORY_EMBEDDING_BACKEND": "<value>", "TQMEMORY_MIGRATE_ON_STARTUP": "<value>", "TQMEMORY_SECRETS_PASSPHRASE": "<secret>" } } }}เครื่องมือ
ยังไม่มีรายการเครื่องมือ เซิร์ฟเวอร์แบบรีโมตจะได้รายการหลังการตรวจสอบสถานะครั้งแรก
FAQ
คัดลอกคอนฟิก stdio สำหรับ Cursor, Claude Desktop, Claude Code หรือ VS Code ได้ในหน้านี้ คอนฟิกนี้ใช้การติดตั้งของผู้เผยแพร่ ไม่ใช่พร็อกซีของ PlugMCP
ผู้เผยแพร่ระบุตัวแปรสภาพแวดล้อมเหล่านี้: TQMEMORY_FTS_LANGUAGE, TQMEMORY_EMBEDDING_BACKEND, TQMEMORY_MIGRATE_ON_STARTUP, TQMEMORY_SECRETS_PASSPHRASE
Turbo Quant Memory ทำงานแบบโลคัลผ่าน stdio
ตรวจสอบล่าสุดเมื่อ 2026-11-13 Local-first memory and knowledge graph for coding agents. Compact retrieval, no network.