# TrueMemory

> TrueMemory — buildingjoshbetter-truememory. Use this tool when you need to enhance your AI's memory capabilities with automatic capture and recall of information, stored locally in a single SQLite file. It solves the problem of limited memory and cloud dependency, providing a seamless integration with various AI interfaces like Claude Code and Codex CLI. Ideal for use cases requiring secure, local data storage and retrieval, such as git version control and AI model training.

Canonical page: https://skillsregistry.net/skills/buildingjoshbetter-truememory  
JSON: https://api.skillsregistry.net/v1/skills/buildingjoshbetter-truememory

## Description

The memory your AI should have had from the start. Automatic capture, automatic recall, 100% local. One SQLite file, zero cloud. Works with Claude Code, Claude CLI, Cursor, Codex CLI, Gemini CLI.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** AGPL-3.0
- **Updated:** 2026-09-24

## Source

- **Source listing:** [GitHub](https://github.com/buildingjoshbetter/TrueMemory)

## 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": "buildingjoshbetter-truememory"
    }
  }
}
```

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