# io.github.oxgeneral/agentmem

> io.github.oxgeneral/agentmem — oxgeneral-agentmem. Use this tool when you need to provide AI agents with lightweight and persistent memory for storing and retrieving information. It solves problems related to data storage and retrieval for AI agents, allowing for efficient hybrid search using keywords and semantics. The tool takes in data as input and outputs stored information, making it ideal for use cases where local data storage and offline access are required.

Canonical page: https://skillsregistry.net/skills/oxgeneral-agentmem  
JSON: https://api.skillsregistry.net/v1/skills/oxgeneral-agentmem

## Description

Lightweight persistent memory for AI agents using a single SQLite file with hybrid search (keywords + semantics). Zero to 12MB install, no cloud or server required.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ny3z84k92w)
- **Repository:** <https://github.com/oxgeneral/agentmem>

## 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": "oxgeneral-agentmem"
    }
  }
}
```

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