# agent-memory

> agent-memory — khaled1174-agent-memory. Use this tool when you need to provide AI agents with a persistent memory system to store and retrieve data efficiently. It solves problems related to data retention and recall, enabling agents to learn from past interactions and make informed decisions. With SQLite and FTS5 integration, it offers a seamless interface for storing and querying data, making it ideal for use cases requiring reliable and isolated data management.

Canonical page: https://skillsregistry.net/skills/khaled1174-agent-memory  
JSON: https://api.skillsregistry.net/v1/skills/khaled1174-agent-memory

## Description

Persistent memory system for AI agents — SQLite + FTS5, MCP server, agent isolation, Obsidian sync. Zero dependencies.

## Trust

- **Trust score (0–1):** 0.44
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/khaled1174/agent-memory)

## 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": "khaled1174-agent-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/khaled1174-agent-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/khaled1174-agent-memory/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