# io.github.emergent-wisdom/understanding-graph

> Use this tool when you need to create a persistent reasoning memory for AI agents, enabling them to store and retrieve complex knowledge graphs with typed cognitive nodes and superseding edges. This tool solves problems related to knowledge retention and retrieval, allowing AI agents to learn and adapt over time. It takes in cognitive nodes and edges as input and outputs a structured knowledge graph, ideal for use cases requiring long-term memory and reasoning capabilities.

Canonical page: https://skillsregistry.net/skills/io-github-emergent-wisdom-understanding-graph  
JSON: https://api.skillsregistry.net/v1/skills/io-github-emergent-wisdom-understanding-graph

## Description

Persistent reasoning memory for AI agents via typed cognitive nodes and supersedes edges.

## Trust

- **Trust score (0–1):** 0.59
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.1.5
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.emergent-wisdom%2Funderstanding-graph)
- **Repository:** <https://github.com/emergent-wisdom/understanding-graph>

## 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": "io-github-emergent-wisdom-understanding-graph"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-emergent-wisdom-understanding-graph` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-emergent-wisdom-understanding-graph/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