# mcp-openmemory

> Use this tool when you need to enable conversational memory and learning capabilities for AI agents like Claude. It solves problems related to contextual understanding and personalized interactions by storing and recalling conversation history, messages, and memory abstracts. The tool uses a local SQLite database as input/output interface, allowing for seamless integration and recall of conversational data.

Canonical page: https://skillsregistry.net/skills/baryhuang-mcp-openmemory  
JSON: https://api.skillsregistry.net/v1/skills/baryhuang-mcp-openmemory

## Description

Enables Claude to remember conversations and learn over time by storing and recalling messages, memory abstracts, and recent history using a local SQLite database.

## Trust

- **Trust score (0–1):** 0.73
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/peue0efnwo)
- **Repository:** <https://github.com/baryhuang/mcp-openmemory>

## 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": "baryhuang-mcp-openmemory"
    }
  }
}
```

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