# remindb

> remindb — radimsem-remindb. Use this tool when you need to efficiently manage session data and reduce token storage. Remindb solves the problem of cumbersome session token management by storing data in a portable SQLite file, cutting storage needs by 75-99%. It provides a simple interface for inputting and outputting session data, making it ideal for use cases where agent memory needs to be accessed across different environments.

Canonical page: https://skillsregistry.net/skills/radimsem-remindb  
JSON: https://api.skillsregistry.net/v1/skills/radimsem-remindb

## Description

An agentic memory database that cuts session tokens by 82–99%. One portable SQLite file — your agent's memory, anywhere.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-25

## Source

- **Source listing:** [GitHub](https://github.com/radimsem/remindb)

## 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": "radimsem-remindb"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/radimsem-remindb` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/radimsem-remindb/pull`

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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