# mcp-memory

> mcp-memory — fellowgeek-mcp-memory. Use this tool when you need to enable AI agents to store and retrieve information across sessions, providing persistent memory for stateful interactions. It solves problems of data loss and inconsistency by allowing agents to retain knowledge and recall it as needed. With OKF-formatted markdown input and SQLite indexing output, it facilitates efficient search and retrieval of stored information.

Canonical page: https://skillsregistry.net/skills/fellowgeek-mcp-memory  
JSON: https://api.skillsregistry.net/v1/skills/fellowgeek-mcp-memory

## Description

Provides AI agents with persistent, long-term memory via OKF-formatted markdown and SQLite indexing, enabling stateful storage, retrieval, and search across sessions.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k0x3pforlo)
- **Repository:** <https://github.com/fellowgeek/mcp-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": "fellowgeek-mcp-memory"
    }
  }
}
```

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

---
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