# io.github.kurovu146/memory-fts

> Use this tool when you need to implement long-term memory for Claude Code with efficient search and ranking capabilities. It solves problems related to information retrieval and storage by utilizing SQLite FTS5 search and BM25 ranking, allowing for effective querying and retrieval of stored data. It takes in data as input and outputs relevant search results, making it ideal for applications requiring robust memory and search functionality.

Canonical page: https://skillsregistry.net/skills/io-github-kurovu146-memory-fts  
JSON: https://api.skillsregistry.net/v1/skills/io-github-kurovu146-memory-fts

## Description

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

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.kurovu146%2Fmemory-fts)
- **Repository:** <https://github.com/kurovu146/claude-memory-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-kurovu146-memory-fts"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-kurovu146-memory-fts` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-kurovu146-memory-fts/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt