# forkscout-memory-mcp

> forkscout-memory-mcp — forkscout-forkscout-memory-mcp. Use this tool when you need to persist AI agent memory and state across interactions, enabling features like knowledge graph management, conversation history, task tracking, and self-identity. It provides a standalone MCP server that integrates with AI agents, accepting input data and outputting updated memory states. Ideal for use cases requiring continuous learning and context retention in AI applications.

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

## Description

Standalone MCP server for persistent AI agent memory — knowledge graph, conversation history, task tracking, and self-identity. Runs on Bun.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **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/Forkscout/forkscout-memory-mcp)

## 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": "forkscout-forkscout-memory-mcp"
    }
  }
}
```

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