# Ordali Memory

> Use this tool when you need to record and manage persistent memory across AI workflow sessions, enabling querying and reasoning over structured data. It solves problems related to data persistence and governance in agentic systems, providing a durable and inspectable memory store. Ideal for MCP-enabled AI workflows requiring reliable storage and retrieval of project memory and governance traces.

Canonical page: https://skillsregistry.net/skills/robin-deruyck-ordali-memory  
JSON: https://api.skillsregistry.net/v1/skills/robin-deruyck-ordali-memory

## Description

Ordali Memory provides persistent SQLite-backed storage for project memory and governance traces, enabling MCP-enabled AI workflows to record, query, and reason over structured memory across sessions. It supports governance-aware agentic systems that need durable, inspectable memory stores.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/robin-deruyck-ordali-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": "robin-deruyck-ordali-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/robin-deruyck-ordali-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/robin-deruyck-ordali-memory/pull`

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