# WisdomGraph

> Use this tool when you need to store and retrieve complex knowledge across multiple sessions, solving problems of data loss and incomplete information. WisdomGraph provides a persistent memory solution, taking in DIKW framework-based inputs and outputting accumulated knowledge, enabling informed decision-making and learning. It is ideal for applications requiring long-term knowledge retention, such as AI agents and MCP clients.

Canonical page: https://skillsregistry.net/skills/cklam12345-wisdomgraph  
JSON: https://api.skillsregistry.net/v1/skills/cklam12345-wisdomgraph

## Description

WisdomGraph stores and retrieves knowledge across sessions in a Neo4j graph database using the DIKW (Data, Information, Knowledge, Wisdom) framework. It provides persistent, compound memory for Claude Code and other MCP clients, enabling knowledge accumulation over multiple sessions. The package connects to a user-provisioned Neo4j instance via configured credentials.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-05-05

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/cklam12345-wisdomgraph)
- **Repository:** <https://github.com/cklam12345/wisdomgraph/tree/HEAD/npm>

## 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": "cklam12345-wisdomgraph"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cklam12345-wisdomgraph` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cklam12345-wisdomgraph/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