Memory Fts

Name: Memory Fts
Author: kurovu146

by kurovu146version 1.0.1i★ –iRuns on your computer

Registry nameio.github.kurovu146/memory-fts

Install

Overview

Description from the maker (original English)

Long-term memory for Claude Code with SQLite FTS5 search and BM25 ranking

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: MEMORY_DB_PATH

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "memory-fts": {
      "command": "npx",
      "args": [
        "-y",
        "claude-memory-fts"
      ],
      "env": {
        "MEMORY_DB_PATH": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add memory-fts --env MEMORY_DB_PATH=your-value -- npx -y claude-memory-fts

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "memory-fts": {
      "command": "npx",
      "args": [
        "-y",
        "claude-memory-fts"
      ],
      "env": {
        "MEMORY_DB_PATH": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "memory-fts": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "claude-memory-fts"
      ],
      "env": {
        "MEMORY_DB_PATH": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

MEMORY_DB_PATH env
Custom path to the SQLite database file (default: ~/.claude/memory.db)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account kurovu146, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7275 servers in this category
Published to the registry more recently than 5% of the other 7275 servers in this category
Basic checks equal to or better than 100% of the other 7275 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Memory Fts safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 8 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday

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Codebase Memory

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Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

claude-memory-fts

Long-term memory MCP server for Claude Code. Stores facts in a local SQLite database with hybrid search (FTS5 + semantic vector similarity) and automatic context injection.

Features

Hybrid search — FTS5 keyword search + semantic vector similarity, merged via Reciprocal Rank Fusion (RRF)
Semantic understanding — find memories by meaning, not just keywords (powered by all-MiniLM-L6-v2 embeddings)
Auto context injection — top 30 most important memories injected into every prompt via hook
Importance ranking — facts ranked by access frequency, recency decay, and category weight
Access tracking — tracks how often each memory is accessed
Upsert — automatically updates existing facts instead of duplicating
Categorized — organize by type: preference, decision, technical, project, workflow, personal, general
MCP Resources — exposes memory://context resource for session context
Zero config — works out of the box, stores data in ~/.claude/memory.db

Install

# Add to Claude Code

claude mcp add memory -- npx claude-memory-fts

Auto-configure context injection hook (recommended)

npx claude-memory-fts --setup-hook

The --setup-hook command automatically:

Creates ~/.claude/scripts/memory-context.sh
Adds a UserPromptSubmit hook to ~/.claude/settings.json
Top 30 memories are injected into every prompt automatically

CLI Commands

Command	Description
`npx claude-memory-fts`	Start MCP server (used by Claude Code)
`npx claude-memory-fts --context`	Output top 30 facts (used by hook script)
`npx claude-memory-fts --setup-hook`	Auto-configure context injection hook

Configuration

Environment Variable	Default	Description
`MEMORY_DB_PATH`	`~/.claude/memory.db`	Path to the SQLite database file

Example with custom path:

claude mcp add memory -e MEMORY_DB_PATH=/path/to/my/memory.db -- npx claude-memory-fts

Tools

`memory_save`

Save a fact to long-term memory.

Parameter	Type	Required	Description
`fact`	string	yes	The information to remember
`category`	string	no	One of: `preference`, `decision`, `personal`, `technical`, `project`, `workflow`, `general`

`memory_search`

Hybrid search: runs FTS5 and semantic search in parallel, merges results with RRF. Falls back to LIKE for partial matches.

Parameter	Type	Required	Description
`keyword`	string	yes	Search keyword or phrase
`limit`	number	no	Max results (default: 10)

`memory_update`

Update a memory's content or category by ID.

Parameter	Type	Required	Description
`id`	number	yes	Memory ID
`fact`	string	no	New content (omit to keep current)
`category`	string	no	New category (omit to keep current)

`memory_list`

List all saved memories grouped by category.

Parameter	Type	Required	Description
`category`	string	no	Filter by category
`limit`	number	no	Max results (default: 50)

`memory_delete`

Delete a memory by ID.

Parameter	Type	Required	Description
`id`	number	yes	Memory ID

Resources

`memory://context`

MCP resource exposing top 30 facts ranked by importance score:

Access frequency — frequently accessed facts score higher (capped at 20 points)
Recency — recently updated facts score higher (10 points, decays over 90 days)
Category weight — preference/decision (3), workflow/technical (2), project/personal (1), general (0)

How It Works

Search Pipeline

FTS5 + BM25 and semantic vector similarity run in parallel
Results are merged and deduplicated using Reciprocal Rank Fusion (k=60)
Facts appearing in both lists get naturally boosted
If both return empty, falls back to LIKE substring matching
Access count is tracked on every search hit

Embeddings

Model: all-MiniLM-L6-v2 (384 dimensions, ~23MB)
Generated locally via @xenova/transformers — no API calls, no data leaves your machine
Embeddings are created on save and backfilled on server startup
Cosine similarity with 0.3 threshold to filter noise

Storage

SQLite with WAL mode for fast concurrent reads/writes
FTS5 virtual table synced via triggers for real-time full-text indexing
Embeddings stored as BLOB columns alongside facts

Development

git clone https://github.com/kurovu146/claude-memory-mcp.git

cd claude-memory-mcp npm install npm run build npm test

License

MIT

Memory Fts

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

claude-memory-fts

Features

Install

Auto-configure context injection hook (recommended)

CLI Commands

Configuration

Tools

memory_save

memory_search

memory_update

memory_list

memory_delete

Resources

memory://context

How It Works

Search Pipeline

Embeddings

Storage

Development

License

`memory_save`

`memory_search`

`memory_update`

`memory_list`

`memory_delete`

`memory://context`