# agent-memory

> agent-memory — masikomoore-agent-memory. Use this tool when you need to provide a unified, self-hosted long-term memory solution for various AI agents, enabling seamless integration and data sharing across platforms like Claude Code, Codex, and VS Code. It solves the problem of fragmented memory management, offering a centralized repository for AI agents to store and retrieve information. With support for MCP, REST, and git, it provides a flexible interface for inputs and outputs, making it ideal for use cases requiring persistent memory and version control.

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

## Description

One memory for every AI agent — self-hosted long-term memory over MCP/REST for Claude Code, Codex, Cursor, Gemini CLI, VS Code, OpenClaw, and more.

## Trust

- **Trust score (0–1):** 0.59
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Masikomoore/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": "masikomoore-agent-memory"
    }
  }
}
```

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