# memory-forge

> Use this tool when you need to persist AI memory across large language models (LLMs) like Claude and ChatGPT, solving issues of conversation continuity and data loss. It provides automatic conversation backup, multi-user support, and flexible storage options through PostgreSQL, Redis, and Qdrant. Ideal for applications requiring seamless and persistent AI interactions, memory-forge enables efficient data management and retrieval.

Canonical page: https://skillsregistry.net/skills/cpretzinger-memory-forge  
JSON: https://api.skillsregistry.net/v1/skills/cpretzinger-memory-forge

## Description

A production-ready MCP server for persistent AI memory across LLMs like Claude and ChatGPT. Provides automatic conversation backup, multi-user support, and multi-storage (PostgreSQL, Redis, Qdrant).

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gce8yyd3tg)
- **Repository:** <https://github.com/cpretzinger/memory-forge>

## 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": "cpretzinger-memory-forge"
    }
  }
}
```

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